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Headquarters: Austin, TX
URL: https://edfinity.com

About Edfinity

Edfinity is the category leader in courseware and assessment technology for higher-ed STEM. We're NSF-supported, bootstrapped, and built by a close-knit remote team of senior engineers. We're growing fast and leading the field in AI-powered courseware that moves the needle on educator productivity and student outcomes. Your work will reach hundreds of institutions, and you will help decide how it gets built.

How we work

• We're fully remote, with team members distributed across the US, and with that comes personal flexibility and accountability.
• AI agents produce most of our code. We move fast, but we temper velocity with quality and stability above all else.
• Engineers frame the problems, direct the work, and are accountable for everything that ships. If you already work this way and have opinions about it, you'll feel at home.
• Everyone has opportunities to work across different areas of the platform, and team members are expected to develop deep technical expertise over time. This is particularly important as we step away from hands-on coding.
• We're a small team of collaborative senior engineers. Your opinion matters.
• The pace of change is real. More than ever, we're continually evolving our tooling and workflows as LLMs become more capable.

What you’ll be doing

Our stack is Ruby on Rails, MongoDB, Elasticearch, ClickHouse, Redis/Sidekiq, and React.

• Full-stack product development in areas like assessment authoring, delivery, and grading; educator and student-facing features; LMS integrations
• LLM-powered features, from prompt architecture to auto-grading to eval infrastructure
• Performance optimization and reliability refactoring to handle both day-to-day load and high-stakes spikes
• Stewardship of a mature codebase: upgrades, migrations, and paying down technical debt methodically
• Part-time technical support rotation. Customer happiness is extremely important to us.

What you'll need

• 8-15 years building and running scalable production web applications and services
• Deep experience with Rails
• Experience with web front-ends such as React
• Recent experience in an SDLC revolving around the use of AI agents
• Strong CS fundamentals in systems, data modeling, and complexity
• Excellent communication hygiene, collaborative skills, and strong sense of self-direction.
• Interest in a long-term seat on a close-knit team.
• Authorization to work in the United States. We are not able to sponsor or transfer work visas at this time.

Compensation

$135,000-$195,000, plus eligibility for an annual discretionary bonus, retirement plan, and PTO

To apply: https://weworkremotely.com/remote-jobs/edfinity-senior-software-engineer-remote

Headquarters: Remote
URL: https://www.samsara.com/

About the role:

Samsara (NYSE: IOT) sits at the center of hardware, software, AI, and the physical world. The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding: it grew from 4 trillion to 25+ trillion in four years. We're still early in turning that data into the products that will define how physical operations run, and we're hiring the engineers who will build what comes next.

We're approaching ~$2B ARR growing 30%+ year over year, with 96% of our largest customers on two or more products. The fastest-growing divisions at Samsara are tackling the hardest, most ambiguous problems at the company: building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage fleets, and run day-to-day operations. Most of this work is zero-to-one, at billion-dollar scale.

We're looking for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform and product, and we're open to shaping scope around the right person's strengths and interests. That window won't stay open long.

This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world. The software you build will have real-world stakes: helping keep the lights on, getting food into grocery stores, keeping workers safe. What ships here isn't metrics on a dashboard. It shows up on the loading dock, the job site, and the dispatch floor.
• You want to build, not maintain. Samsara is in full growth mode. We're building new systems from scratch, not babysitting old ones. You'd own entire problem spaces end to end, with the autonomy to set direction from day one.
• You want to work where AI meets the physical world. Samsara has spent a decade building the largest proprietary dataset for physical operations. More connected assets generate more data, more data trains better models, better models drive more value, and more value wins more assets. The market and the opportunity here are what set us apart, not just the models.
• You believe customers are more than a number. Samsara engineers have a rare closeness to end users. You'll participate in customer interviews, collaborate with product managers and customer success, and use that context to build products that solve real problems operators face every day.
• You have the curiosity and drive to figure it out. We're looking for people who take pride in their work and get things done at all costs. The engineers who thrive here don't wait to be told what to build. They define it, ship it, and own the outcome. The rate-limiting step on our teams isn't tooling or process. It's ambition.

In this role, you will: 

• Take ownership of technically complex, mission-critical areas and run with them. We want to point you in a direction and show up to the demo meeting impressed, not spend our weeks managing the details.
• Define and drive technical strategy for new products and platform capabilities, from backend services and APIs to the customer-facing UI.
• Design and ship full-stack features end to end. You'll work across backend, frontend, and potentially mobile to deliver AI-powered products that solve real operational problems.
• Partner with product, design, and customer-facing teams to translate ambiguous, real-world problems into clear technical plans and measurable outcomes.
• Build and scale the systems behind AI-driven products, including data ingestion, APIs, and the workflows that put intelligence into the hands of operators.
• Raise the bar for the engineers around you through code reviews, design reviews, technical mentorship, and by setting a standard for quality, velocity, and craft.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ years of experience in software design and development, including building and operating production systems at scale.
• Strong full-stack fundamentals. You're comfortable working across backend services, APIs, and frontend (web or mobile) to ship complete products.
• Proficiency in modern languages and frameworks (Go, Python, TypeScript/JavaScript, React, or similar).
• Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable impact.
• Experience building AI-powered or data-driven products. You don't need to train models, but you know how to take AI capabilities and turn them into products customers love.
• Strong communication skills and the ability to translate between technical and non-technical stakeholders.
• A track record of building: zero-to-one products, systems you left in a meaningfully better place, or hard problems you refused to let stay unsolved.

An ideal candidate also has:

• Experience shipping AI-powered features in production, whether that's LLM-based products, agentic workflows, recommendation systems, or other customer-facing AI.
• Comfort with modern AI-augmented development workflows (Cursor, LLMs, etc.) to multiply your output and accelerate delivery.
• Background working with real-world operational data (telematics, sensor data, work orders, inspections) or a strong interest in learning the domain.
• A proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team.
• Side projects, open-source contributions, or other signals of curiosity and drive outside the scope of your day job.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary $162,400—$290,000 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working 

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

To apply: https://weworkremotely.com/remote-jobs/samsara-staff-software-engineer

Headquarters: Minneapolis, MN
URL: http://collaboration.ai

Who We Are

Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.

Our Products

NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.

CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.

To learn more about us, visit collaboration.ai.

About the Role

You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge.

This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise.

Agents in production. Pipelines that hold. Evals that keep everyone honest.

What You'll Do

• Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence

• Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency

• Engineer data pipelines — robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates

• Own retrieval quality — hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression

• Accelerate with AI — build custom MCP tools and Agent Skills that make the whole engineering team measurably faster

• Execute alongside the team — pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code

Our Tech Stack

• Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary)

• AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others)

• Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards

• LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock

• Search & Retrieval: Vector databases, OpenSearch, embedding models

• Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed

• Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability

What We're Looking For

Must-Haves

• 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering

• Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows

• Data engineering background — robust, scalable pipelines for AI/ML workloads

• LLM operations experience — evals and observability for production LLM systems (quality, cost, latency)

• Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch)

• Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management

• AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development

• Experience with Docker, Kubernetes, and AWS

• US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance)

Nice-to-Haves

• Deep agentic ecosystem experience — Agent Skills standards, custom MCP servers, agent SDKs across major vendors

• Advanced RAG expertise — GraphRAG, agentic RAG, contextual retrieval, reranking strategies

• Graph data experience — knowledge graphs, graph databases, or graph-based retrieval

• Model selection & rightsizing — matching models to domain-specific use cases across quality, cost, and latency tradeoffs

• Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates

• Research background, open-source contributions, or an advanced degree in ML/IR/NLP

Why Join Collaboration AI?

Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents — with the autonomy to shape how it's built.

AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily — you'll both use and build them.

Work that matters. Defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust.

Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.

 

To apply: https://weworkremotely.com/remote-jobs/collaboration-ai-senior-software-ai-engineer

Job Description: About DXC Technology DXC Technology is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed.

Our PurposeAt SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future.

Szukam doświadczonego seniora do projektu dla globalnego gracza z branży Retail Media.

Grow your career at Cedars-Sinai! Cedars-Sinai Medical Center has been named to the Honor Roll in U.

At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 18,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.

In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.

Algolia is seeking a detail-oriented and proactive GTM Data Operations Manager to join our Revenue Operations team to ensure our customer and prospect data is trusted, governed, and operationally sound across the entire GTM ecosystem.

The GTM Data Operations Manager owns the operational health, governance, and integrity of customer and prospect data across the company’s go-to-market systems. The role is responsible for ensuring Leads, Contacts, Accounts, and related GTM data are accurate, enriched, synchronized, and governed to enable effective execution across Marketing, Sales, Customer Success, and Analytics.

The role partners closely with GTM Systems, Marketing/Sales Operations, Analytics, Customer Success Operations, and Data / Systems Engineering to maintain reliable data foundations, support automation and AI native workflows, and continuously improve data quality across the revenue technology stack..

About You

You’re passionate about building high-quality data foundations that enable great business decisions, and you enjoy solving complex operational problems across systems and teams. You’re organized, analytical, and detail-oriented, comfortable owning your area independently while collaborating across Marketing, Sales, Customer Success, Data / Systems Engineering, and Revenue Operations. You take pride in creating operational excellence behind the scenes, building reliable processes, documenting standards, and continuously improving the quality and integrity of GTM data. Above all, you understand that trusted data is the foundation for exceptional customer experiences, operational efficiency, analytics, AI, and business growth.

Key Responsibilities

• Data Stewardship, Governance & Quality

  • Act as the operational steward for customer and prospect data (Leads, Contacts, and Accounts) across the GTM ecosystem, ensuring data is accurate, complete, consistent, and trusted.
  • Own operational governance for customer and prospect data across Salesforce, Marketo, Demandbase and related integrated GTM systems, including data quality standards, telemetry requirements, validation rules, field governance, and operational policies.
  • Execute recurring hygiene programs including deduplication, standardization, enrichment validation, and lifecycle management; partner with system owners to resolve data integrity issues.
  • Partner with business stakeholders to evaluate requests for new fields, objects, and data standards while maintaining integrity and consistency across the ecosystem.
  • Identify data quality risks, drive remediation efforts, and support the evolution of GTM data models as business needs change.

• Data Enrichment & Identity Management:

  • Administer enrichment workflows across GTM platforms.
  • Monitor enrichment success rates and troubleshoot failures.
  • Maintain enrichment mappings and integrations.
  • Partner with GTM Technology on vendor implementations and improvements.

• Data Operations:

  • Monitor critical integrations between Salesforce, Marketo, Demandbase and other GTM systems.
  • Investigate synchronization failures and scope / support implementation to minimize future failures.
  • Ensure customer and prospect data flows reliably across systems.
  • Support operational readiness for new fields, objects and integrations as well as deprecation of those no longer needed.

• Operational Excellence:

  • Support complex audience segmentation requests requiring deep knowledge of GTM data structures.
  • Provide operational data support for strategic GTM initiatives as required.
  • Ensure GTM data is structured and governed to support scalable reporting, automation, and AI-powered workflows.
  • Document data processes and governance standards.
  • Develop dashboards to monitor data quality health.
  • Identify automation opportunities that improve operational efficiency.
  • Support audit and compliance requests.

Qualifications

• 3+ years of experience in Revenue Operations, Marketing Operations, Sales Operations, CRM Administration, Data Operations, or a related GTM operations function.
• Located in US ET or CT
• Strong working knowledge of Salesforce and CRM data management principles, including Leads, Contacts, Accounts, and related data structures.
• Experience working with marketing automation platforms (e.g., Marketo) and GTM data platforms and enrichment technologies.
• Familiarity with SQL and data warehouse concepts (e.g., Hex, Databricks, ThoughtSpot, etc) is a plus.
• Understanding of CRM architecture, lead lifecycle management, data enrichment, and system integrations across the GTM technology stack.
• Experience maintaining data quality through governance, validation rules, deduplication, standardization, and operational data hygiene.
• Working knowledge of APIs, webhooks, and system integrations, with the ability to troubleshoot data synchronization issues across multiple platforms.
• Strong analytical, problem-solving, and root cause analysis skills with exceptional attention to detail.
• Excellent organizational, communication, and cross-functional collaboration skills, with the ability to manage multiple priorities independently.
• Experience documenting processes, identifying automation opportunities, and continuously improving operational workflows.

Preferred Qualifications

• Salesforce Administrator certification or equivalent hands-on experience.
• Experience with GTM data platforms such as Demandbase, 6sense, ZoomInfo, Clearbit, Apollo, or similar technologies.
• Experience supporting enterprise B2B SaaS go-to-market organizations.
• Familiarity with AI-enabled workflows, modern data governance practices, and enterprise GTM technology ecosystems.

The above is not an exhaustive list of duties and behaviors expected of this role. The company reserves the right to amend or delete with or without notice in line with change in business needs.

Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

Base Salary Pay Range

$120,000—$148,000 USD

FLEXIBLE WORKPLACE STRATEGY:

Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.

We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as “Remote” are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule.

WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:

• GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
• TRUST- Willingness to trust our co-workers and to take ownership.
• CANDOR - Ability to receive and give constructive feedback.
• CARE - Genuine care about other team members, our clients and the decisions we make in the company.
• HUMILITY - Aptitude for learning from others, putting ego aside.

We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.

IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice

We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:

• Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
• All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
• We’ll never ask for payments, purchases, or financial details during the hiring process.

READY TO APPLY?

If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

About FINN Partners

FINN Partners is a fast-growing, global independent marketing agency recognised for its bold ideas and collaborative spirit. Our expertise spans integrated marketing, media, and creative services, offering clients a unified team focused on business and brand growth. The Performance Media team leads performance strategy across paid search, social, programmatic, and audience insights, while the Brand Media team leads brand strategy across narrative and channel selection. The two teams build every media plan together, aligned to a single business outcome. Media joins client engagements at the earliest stages, working alongside strategy and creative to develop one integrated campaign.

Position Summary

As a Senior Media Planner, Brand, you will lead the development and execution of local, national and global brand media plans, owning your plans, measurement, reports, and recommendations from start to finish, with growing autonomy in client-facing strategy and vendor negotiations.

You will plan across brand media channels including but not limited to premium video, programmatic video and display (DSP), audio, OOH, and brand partnerships, and provide dotted-line guidance to Associate Media Planners as you deepen your fluency across the mix.

What You’ll Do

• Participate in the development of integrated brand media plans and strategies, contributing directly to plan direction and channel strategy rather than executing decisions made by others
• Plan and execute brand channels including premium video, programmatic video and display (DSP), audio, OOH, and brand partnerships
• Maintain working knowledge of paid social, paid search, and performance platforms to inform how brand strategy translates across the full media ecosystem, even where day-to-day execution sits with the Performance team
• Oversee end-to-end management of brand media campaigns, from planning through execution and reporting
• Prepare estimates, insertion orders, and buy specifications
• Own vendor negotiations for rates, positioning, and added-value opportunities, ensuring outcomes align with plan objectives
• Issue RFPs to print, broadcast, and digital vendors
• Implement and monitor tracking of KPIs and overall campaign performance
• Construct and deliver detailed reports on a monthly basis
• Provide review/oversight of junior team members for client-facing reports through a constructive lens
• Manage billing alongside Media Planner/Associate Media Planner and Accounting counterparts
• Conduct industry, competitive, and audience research using media tools and agency resources
• Foster partnerships with vendors and other third parties
• Evaluate new media opportunities and develop points-of-view
• Present media plans and strategic recommendations directly to clients, with Supervisor support on complex or sensitive accounts
• Provide dotted-line guidance and day-to-day direction for Associate Media Planners, including quality review and feedback on their work, without formal performance management authority
• Maintain daily pacing and budget tracking
• Stay current on media trends and best practices

What You’ll Bring

• Bachelor’s degree or equivalent experience
• 4–6 years of advertising or media agency experience
• Strong math and analytical skills
• A creative and innovative thinker
• A track record of gaining trust and respect through sound judgment, including in high-pressure situations
• Exceptional written, verbal, and negotiation skills, with the ability to communicate across all levels of employees, vendors, and clients
• Exceptional initiative and attention to detail
• Ability to multitask, prioritize, and perform under tight deadlines
• Experience guiding or reviewing the work of junior planners a plus

Knowledge & Skill Requirements

• G Suite (Sheets, Docs, Slides), Microsoft Office (Word, PowerPoint, Excel)
• Proficiency with FINN’s reporting and dashboard platforms, including Ninjacat and Funnel, or similar tools
• Familiarity with AI tools used across the agency, including Gemini, OpenAI, Copilot, and Claude, to support planning, research, and reporting workflows
• Familiarity with audience research and competitive intelligence platforms such as GWI and MediaRadar, or similar tools
• Google Marketing Platform (Campaign Manager, Google Analytics, Looker Studio)
• Ability to conduct critical analysis and identify key insights
• Strong written, verbal, and visual communication skills
• Proactive and self-motivated
• Excellent problem-solving skills
• Solid project management and organizational skills
• High level of accuracy and attention to detail

Where You’ll Work

Anywhere in the U.S. We’re a remote-first workplace with optional in-office days in Boston, Chicago, Detroit, Los Angeles, Nashville, New York, Portland, Washington DC, and more. Eastern Time Zone working hours are preferred to best align with team and client  collaboration hours.

Anticipated Salary: $60,000 - $80,000.  Compensation is based on experience and depending upon workplace location.

Why Join FINN Partners?

• Competitive salary, health, dental, and vision insurance
• 401(k)
• Generous PTO policy, plus paid holidays
• Wellness stipend for physical and mental health programs

#LI-TS1 #LI-REMOTE

How To Apply

Please upload your resume and cover letter, as well as indicate your desired salary.

While we appreciate the interest of all candidates, we will only respond to those with whom we have a greater interest.

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

As a Technical Support Engineer, you’re the bridge between our customers and our Engineering organization. You’ll own technical support cases end-to-end, triaging issues across Kubernetes infrastructure, ML platform components, authentication, data connectivity, and model deployment, and ensuring every customer gets a clear and timely resolution. You’ll also contribute to the knowledge base that helps the whole team scale.

What your impact will be

• Own support cases for enterprise customers across all severity levels, from initial triage through resolution, with clear communication and accurate expectations throughout
• Diagnose and resolve Kubernetes and cloud infrastructure issues: pod failures, resource limits, persistent volumes, RBAC, ingress, and cluster-level diagnostics
• Troubleshoot ML platform problems including workspace and job failures, environment build errors, model deployment issues, and data connector failures
• File detailed, actionable bug reports and enhancement requests in Jira and act as the customer’s advocate with Product and Engineering
• Write and review knowledge base articles, how-to guides, and troubleshooting docs, building the reference layer that helps customers and teammates solve problems faster
• Hand off cases cleanly in a follow-the-sun model across AMER, EMEA, and APAC, ensuring continuity for global enterprise accounts
• Run live troubleshooting sessions with customers via video call and participate in EMEA weekend on-call rotation per team schedule

What we look for in this role

• 3 to 5 years in enterprise technical support, solutions engineering, or a similar customer-facing technical role at a SaaS or data/AI platform company
• Hands-on Kubernetes: pod lifecycle, kubectl, RBAC, namespaces, persistent volumes, and cluster-level troubleshooting
• Strong Linux and command-line proficiency: log analysis, process management, file system navigation, and shell scripting
• Familiarity with Python-based ML workflows: Jupyter, package management, model training and serving
• Experience with cloud platforms (AWS, GCP, or Azure) and containerized application environments
• Methodical troubleshooter: you form a hypothesis, test it, and adapt when the logs disagree with your theory
• Clear written communicator: your case updates and KB articles don’t require a follow-up to understand
• Comfortable managing multiple open, time-sensitive cases without losing the thread on any of them
• Works well asynchronously across time zones in a remote-first, globally distributed team
• Bachelor’s degree in computer science, engineering, or a related technical field (or equivalent experience)

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

As a Technical Support Engineer, you’re the bridge between our customers and our Engineering organization. You’ll own technical support cases end-to-end, triaging issues across Kubernetes infrastructure, ML platform components, authentication, data connectivity, and model deployment, and ensuring every customer gets a clear and timely resolution. You’ll also contribute to the knowledge base that helps the whole team scale.

What your impact will be

• Own support cases for enterprise customers across all severity levels, from initial triage through resolution, with clear communication and accurate expectations throughout
• Diagnose and resolve Kubernetes and cloud infrastructure issues: pod failures, resource limits, persistent volumes, RBAC, ingress, and cluster-level diagnostics
• Troubleshoot ML platform problems including workspace and job failures, environment build errors, model deployment issues, and data connector failures
• File detailed, actionable bug reports and enhancement requests in Jira and act as the customer’s advocate with Product and Engineering
• Write and review knowledge base articles, how-to guides, and troubleshooting docs, building the reference layer that helps customers and teammates solve problems faster
• Hand off cases cleanly in a follow-the-sun model across AMER, EMEA, and APAC, ensuring continuity for global enterprise accounts
• Run live troubleshooting sessions with customers via video call and participate in EMEA weekend on-call rotation per team schedule

What we look for in this role

• 3 to 5 years in enterprise technical support, solutions engineering, or a similar customer-facing technical role at a SaaS or data/AI platform company
• Hands-on Kubernetes: pod lifecycle, kubectl, RBAC, namespaces, persistent volumes, and cluster-level troubleshooting
• Strong Linux and command-line proficiency: log analysis, process management, file system navigation, and shell scripting
• Familiarity with Python-based ML workflows: Jupyter, package management, model training and serving
• Experience with cloud platforms (AWS, GCP, or Azure) and containerized application environments
• Methodical troubleshooter: you form a hypothesis, test it, and adapt when the logs disagree with your theory
• Clear written communicator: your case updates and KB articles don’t require a follow-up to understand
• Comfortable managing multiple open, time-sensitive cases without losing the thread on any of them
• Works well asynchronously across time zones in a remote-first, globally distributed team
• Bachelor’s degree in computer science, engineering, or a related technical field (or equivalent experience)

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes. You will be the “one hand to shake” — orchestrating multi-geo phData teams and partners, and ensuring technical delivery translates into measurable business impact.

Core Responsibilities

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
• Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
• Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
• Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
• Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
• Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
• Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
• Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
• Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Core Requirements

• Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.
• 5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.
• Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.
• Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.
• Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.
• Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.
• Experience leading remote, multi-geo teams.
• Bachelor’s degree in IT or a related technical field.
• PMP and CSM certifications are strongly preferred.
• Willingness to travel up to 10% per month

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

About Us:

ChowNow is one of the leading players in off-premise restaurant technology. As takeout becomes a vital revenue stream for independent restaurants, our platform helps owners focus on what they do best—serving great food—by offering solutions across the entire digital dining experience. From building branded websites and mobile apps, to powering online orders, managing menus, consolidating delivery, and running targeted marketing, we give restaurants the tools to grow on their own terms.

We support thousands of restaurants across North America, helping process $1B+ in gross food sales while saving our partners over $700M in third-party commission fees. Through our white-label ordering solutions, a growing demand network (including Google, Yelp, Apple, and Snap), and a diner-friendly marketplace, we empower independent restaurants to own their customer relationships and avoid inflated pricing and fees charged by 3rd party delivery apps like Uber and Doordash.

Founded in 2012, we’ve navigated rapid growth and transformation—from startup roots through the pandemic boom—and are now beginning an exciting new era under our CEO, Kanika Soni. As we evolve with new leadership and cutting-edge tools, we’re deepening our commitment to helping local restaurants thrive in the digital economy.

About the Position:

As the Senior Sales & Customer Success Operations Manager, you will be the business partner embedded deeply within Sales and CS, owning operational execution. You’ll spot the friction and pain points, see exactly where workflows and processes break down, and define what actually needs to change — whether it’s a workflow, a checklist, an ROE, or a comp trigger.

You bring the process rigor and the Business Systems team brings the technical chops to build durable & scalable systems. You define the what and why, translating a business need into a specific, buildable requirement — but you don’t touch the systems yourself. The throughline across everything you do is reducing operational burden, especially manual work, so sales reps and customer success teams can focus on what actually drives impact.

This role reports directly to the Head of Revenue Operations and will not have any direct reports.

This is a remote role based in the United States. Please note: ChowNow is not eligible to employ in every state and the recruiting team will confirm location and eligibility before moving past initial stages.

WHAT WE LOVE ABOUT YOU:

You put restaurants first. You deeply understand the importance of local restaurants and put them at the center of everything you do. You aim to help them not only survive but thrive.

You celebrate diversity. You recognize that diversity and inclusivity matter. You’re committed to progress, which means everyone gets the support and resources they need, no matter who they are.  You have an ability to listen to other team members’ ideas and can thrive in an environment that embraces individuality. Everyone’s voice counts.

You raise your hand. You consistently go above and beyond what is asked of you. You help your peers accomplish their tasks while also excelling at accomplishing your own. When you have a smart idea, you raise your hand and share it.

You keep reaching. You set clear ambitious goals. You don’t allow yourself to become complacent with where you’re at and what you’ve done, so you seek out new opportunities and challenges.

Responsibilities include:

General duties

• Comp operationalization: defines comp calculation logic, QA’s plan payouts, and maintains SPIFF/addendum tracking — the operational counterpart to comp design

• Ad-hoc reporting for both teams

• Spotting and specifying process improvements that make day-to-day easier

Sales Operations

• Own territory transfers, assignment, and evaluation with sales leadership.

• Partner with Finance and Sales leadership to build and enforce the discount approval workflows, and support the deal desk function for non-standard deal configurations.

• Define pipeline stage entry and exit criteria across the sales lifecycle.

• Own forecasting and pipeline health reporting — building and maintaining the reports reps and managers actually use day to day.

• Process end of month commissions and SPIFF payouts accurately

• Document sales rules of engagement (ROE) and maintain the source of truth for processes and Salesforce materials.

Onboarding Operations

• Define and manage the onboarding checklist, escalations, stages, and SLAs. Prioritize “what actually matters” based on evidence, not habit.

• Establish consistent handoff process from sales to onboarding and Restaurant success

• Partner with Business Systems on Salesforce implementation needs — custom fields, reports, or automations.

• Ensure proper tracking is in place to assess impact once changes go live.

Customer Success Operations

• Define and manage customer stages from onboarding through adoption, renewal, expansion, and churn.

• Establish health score logic (what inputs should matter & why), account risk alerts, and workflows with leadership.

• Operationalize new customer segmentation based on revenue and potential (new segmentation design sits with the GTM Strategy lead)

• Reallocate account portfolios balancing RSM workload

• Partner with GTM leadership on capacity planning to ensure workload matches team bandwidth and reps are focused on the highest-impact accounts & tasks to drive the best outcomes

• Process end of month commission and SPIFFS

• Define outreach sequence logic and cadence for hibernated, downgrade accounts and win back accounts, partnering with Business Systems on build.

Reporting and Process Improvement

• Develop and maintain accurate customer data and team activity in Salesforce

• Own data hygiene for clean reporting

• Recommend and implement process improvements that reduce manual work and improve operational efficiency and consistency.

• Audit CRM data, fields, objects, and lifecycle stages to ensure alignment with business processes.

You Should Apply If You:

• Have 6+ years of experience in sales operations, revenue operations, customer success operations, or a similar cross-functional business partner role. Experience with comp plan administration or SPIFF/addendum tracking is a plus

• Have strong operational judgment — you know exactly what a rep or post sales rep needs to be more effective, and can turn that into a clear, buildable requirement rather than a vague ask

• Are comfortable navigating Salesforce, Outreach, and Gong (PlanHat is a nice to have) well enough to build your own reports and pull ad-hoc data

• Are fluent enough in systems and data to speak the same language as a Biz Systems or engineering counterpart, without losing anything in translation

• Have strong problem-solving skills, with the ability to navigate ambiguity and drive solutions proactively while working with minimal direction

• Are comfortable in a fast-paced, scrappy work environment and aren’t afraid to ask probing questions

• Have a high attention to detail, as your specs and reporting directly shape what gets built and how performance gets tracked

• Have strong interpersonal and communication skills with the ability to interact with employees of all levels, including sales and CS leadership

• Have a proven ability to make data-informed decisions and thrive in a dynamic environment under short timelines with changing priorities

• Can diagnose root cause — distinguishing whether a performance gap is a training issue, a metrics/reporting issue, or a comp misalignment issue

About Our Benefits:

• Expected Base Salary: $130,000 - $168,000 (depending on candidate location and experience)
• Ongoing training and growth opportunities.
• A “Best Place to Work” winner multiple times where we focus on creating a great employee experience.
• Rock solid medical, dental, and vision plans.
• Mental Health Coverage - we offer several programs to support your mental health and wellness goals.
• Unlimited Paid Vacation. We expect you to work hard, but still enjoy your personal life
• 7 weeks of baby bonding time for all new parents (within the first year of birth or adoption), 8 Weeks of Paid Pregnancy Leave.
• 401(k) Matching
• Employer-contributing student loan assistance program or continuing education reimbursement program
• Employee Stock Incentive Plan.
• Pet insurance for your fur babies
• Consistent & fair leadership: we’ll share info, set clear goals, show you respect, and treat everyone fairly.
• Enough freedom to spread your wings while still holding you accountable.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. This is not intended to be an exhaustive list of all responsibilities, duties and skills required.

As one of ChowNow’s core values, “Celebrates Diversity”, we are committed to an inclusive and diverse work environment. ChowNow is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.  We are committed to developing a barrier-free recruitment process and work environment, if you require any accommodation, please let us know at your earliest convenience and we’ll work with you to meet your accessibility needs.

Information Regarding Recruiting Scams: ChowNow does not engage in outreach to prospective candidates by text message about employment opportunities, interviews, or employment offers, and we do not make job offers after only one interview. ChowNow does not ask candidates to submit sensitive personal information (Passport details, banking information, etc.) as part of the interview process. ChowNow employment offers are made by a ChowNow Talent Acquisition team member with a @chownow.com email address only. ChowNow does not ask candidates to provide funds to the company for onboarding, equipment, or supplies. If you receive an employment inquiry or employment offer from a non @chownow.com email address, consider it spam.

Read here about your California privacy rights: https://get.chownow.com/legal/california-privacy-rights-act/

#Li-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Revenue team

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.

About the Role

We’re looking for intelligent, driven professionals to join our Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions to support and grow our Revenue segments.

The ideal candidate will have strong analytical and problem solving skills, the ability to craft comprehensive narratives for both internal and external stakeholders, and produce tools and solutions to scale data usage with Revenue. In addition to analytical rigor, the ideal candidate has strong interpersonal skills to work proactively within the organization and with clients to drive forward recommendations.

What You’ll Do

Optimize decisions and execution with analyses, and communicate to internal and external partners

• Be a strategic partner with our Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants for their point-of-sale and Marketplace business

• Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance

• Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution

Scale impact

• Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants

Own comprehensive analytics solution

• Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights

• Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact

• Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants

What We Look For

• 5+ years of experience in an analytically-driven role (consulting, finance, analytics, etc.)

• Strong working knowledge of SQL, data visualization tools (e.g. Sigma, Looker, Tableau). Understanding or a demonstrated aptitude to learn Python is a plus

• Demonstrated aptitude in leveraging AI tools for analytics (Cursor, Claude Code, etc.)

• Exceptional problem-solving skills, including ability to operate in ambiguity and establishing analytical frameworks to apply to business problems

• Ability to create structure in ambiguous situations, such as aligning stakeholders, or choosing the most impactful data to drive decisions

• Ability to communicate effectively, and craft compelling narratives to influence business and technical stakeholders across all levels of the organization, internally and externally

• Strong organization and execution skills, including ability to operate independently and drive multiple strategic initiatives simultaneously to drive business goals

• Prior track record in building successful cross-functional relationships with partners internally and externally

• Self-starter and a track record of successfully driving projects from end to end (from building strategy to implementation)

• Passion and drive to disrupt both the retail and lending industry for the better

• Enough laziness to find a faster way to do your least favorite tasks

• Humility and a team player - you go out of your way to help teammates

Nice to Have

• Knowledge of the FinTech or Payments industry

• Prior experience performing data analytics for marketplace platforms

• Demonstrated aptitude in AI tools for analytics (Cursor, Claude Code, etc.)

Pay Grade - M

Equity Grade - 8

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Revenue team

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.

About the Role

We’re looking for intelligent, driven professionals to join our Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions to support and grow our Revenue segments.

The ideal candidate will have strong analytical and problem solving skills, the ability to craft comprehensive narratives for both internal and external stakeholders, and produce tools and solutions to scale data usage with Revenue. In addition to analytical rigor, the ideal candidate has strong interpersonal skills to work proactively within the organization and with clients to drive forward recommendations.

What You’ll Do

Optimize decisions and execution with analyses, and communicate to internal and external partners

• Be a strategic partner with our Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants for their point-of-sale and Marketplace business

• Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance

• Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution

Scale impact

• Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants

Own comprehensive analytics solution

• Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights

• Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact

• Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants

What We Look For

• 5+ years of experience in an analytically-driven role (consulting, finance, analytics, etc.)

• Strong working knowledge of SQL, data visualization tools (e.g. Sigma, Looker, Tableau). Understanding or a demonstrated aptitude to learn Python is a plus

• Demonstrated aptitude in leveraging AI tools for analytics (Cursor, Claude Code, etc.)

• Exceptional problem-solving skills, including ability to operate in ambiguity and establishing analytical frameworks to apply to business problems

• Ability to create structure in ambiguous situations, such as aligning stakeholders, or choosing the most impactful data to drive decisions

• Ability to communicate effectively, and craft compelling narratives to influence business and technical stakeholders across all levels of the organization, internally and externally

• Strong organization and execution skills, including ability to operate independently and drive multiple strategic initiatives simultaneously to drive business goals

• Prior track record in building successful cross-functional relationships with partners internally and externally

• Self-starter and a track record of successfully driving projects from end to end (from building strategy to implementation)

• Passion and drive to disrupt both the retail and lending industry for the better

• Enough laziness to find a faster way to do your least favorite tasks

• Humility and a team player - you go out of your way to help teammates

Nice to Have

• Knowledge of the FinTech or Payments industry

• Prior experience performing data analytics for marketplace platforms

• Demonstrated aptitude in AI tools for analytics (Cursor, Claude Code, etc.)

Pay Grade- M

Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $145,000 - $205,000

This posting is for an existing vacancy.

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.