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Category
Manages client relationships and accounts for a supply chain ESG impact intelligence platform, driving customer engagement and revenue.
Develops and executes marketing strategies to drive supplier network growth and adoption of the impact intelligence platform.
Develops and executes growth marketing strategies to drive user acquisition, engagement, and retention for an impact intelligence platform.
Develops AI-first e-commerce applications, builds autonomous agents, sets up GPU infrastructure, and integrates LLMs with full-stack tech stacks.
Headquarters:
We are seeking an AI Engineer to develop AI-first applications and integrate custom models and infrastructure into an existing e-commerce platform. The role focuses on building agent-led product experiences, including internal automation, dynamic site customization, and customer-facing conversational commerce workflows.
General information
This engagement supports an e-commerce startup building a platform around conversational design and intelligent automation. The current objective is to extend the existing product with AI-native capabilities while building on top of the current backend and application stack.
The work includes three core initiative areas: an internal AI employee for operational tasks, a fluid site customizer, and a customer-facing commerce agent designed to support one-prompt checkout experiences. The role will involve model integration, infrastructure setup, and product-facing implementation across both backend and UI surfaces.
Tasks and Deliverables
- Develop AI-first applications for an existing e-commerce platform.
- Architect and implement autonomous e-commerce AI agents using open-source and proprietary foundation models.
- Establish GPU infrastructure and data pipelines for model fine-tuning and deployment.
- Integrate AI workflows with the existing stack, including MongoDB, Node.js, Express, React, and third-party APIs.
- Build conversational UI components and backend logic for one-prompt checkouts and dynamic site customization.
Required Experience
- Strong expertise in AI/ML engineering and LLM integration.
- Hands-on experience fine-tuning open-source models such as Llama or Mistral.
- Experience building autonomous agents and conversational AI workflows.
- Solid background in GPU infrastructure setup and optimization for training or inference.
- Full-stack proficiency with MongoDB, Express, React, and Node.js.
- Experience integrating REST APIs into production applications.
Nice to have:
- Familiarity with Stripe, Twilio, or OpenAI API integrations.
To apply: https://weworkremotely.com/remote-jobs/toptal-ai-ml-engineer-for-an-ai-driven-e-commerce-platform
Senior software engineer builds full-stack web applications using Rails and React, develops LLM-powered features, and optimizes performance for a higher-ed STEM courseware platform.
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
What you’ll be doing
Our stack is Ruby on Rails, MongoDB, Elasticearch, ClickHouse, Redis/Sidekiq, and React.
What you'll need
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
Engineering manager leads 4-5 person cross-functional delivery teams, owning both people development and shipping reliability while managing distributed team operations.
Headquarters: Brazil
URL: http://lawnstarter.com
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all outdoor home services - pest control, pool cleaning, window cleaning, and more.
About Engineering at LawnStarter
Our engineering team builds the platform that connects hundreds of thousands of homeowners with over 70,000 active service pros. We operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, and we're profitable and growing. Engineering here is fast - we ship constantly, we own our systems end-to-end, and we don't tolerate "not my problem." We have strong processes and existing engineering managers, so you're not building from scratch. You're raising the bar.
The Role
We're growing, and that means adding engineering leadership capacity to support new initiatives. You'll lead cross-functional delivery teams of 4-5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.
This is a people-first role. If your identity as an EM is primarily technical - if you'd rather review architecture than develop an underperformer - this isn't the right fit. If you're the manager who knows what every person on your team needs to grow, who handles conflict directly, and who can articulate team performance in metrics, keep reading.
What makes this role different:
- You'll own both delivery AND people outcomes - neither can be delegated
- Distributed team across time zones, so async leadership and written communication matter as much as meetings
- We move fast and actually ship - you'll feel the difference between a team that's humming and one that's stuck
- AI-forward is not a buzzword here - we expect you to lead your team on how to use it, not just follow along
What You'll Own
- People development: Concrete growth plans for every IC on your team - not just the struggling ones. You know where each person is going and what it takes to get there.
- Delivery: Your team ships on cadence with predictable quality. You surface risk early, manage scope, and don't miss commitments without warning.
- Team health: Conflict gets addressed directly. Underperformers are managed with a clear process. Top performers are protected and developed.
- Cross-functional partnership: You're the interface between your team and Product, Design, and other engineering teams. Decisions get made, not stalled.
- Technical direction: Close enough to the work to weigh in on system design and catch architectural risks. Not so close that you're in the weeds instead of removing blockers.
- AI adoption: You're actively introducing AI tools and workflows into how your team operates - code review, documentation, sprint planning, debugging. You set the pace, not follow it.
Problems to Solve
Building people leadership depth as the team scales
LawnStarter is expanding into new service verticals quickly. That means new headcount, new complexity, and more pressure on EMs to develop the next generation of senior engineers and tech leads - not just ship features. We need an EM who's done this before, not one who's figuring it out.
Managing distributed teams without losing culture or accountability
Our engineering team spans multiple time zones and countries. Async communication, remote 1:1s, and distributed sprint ceremonies are the norm - not a workaround. An EM who needs daily in-person proximity to lead effectively won't thrive here.
Turning delivery consistency into a competitive advantage
We have product-market fit and real momentum. The constraint now is shipping reliably enough to compound on that momentum. Your team's velocity and predictability directly affects LawnStarter's ability to launch new services and capture market share.
Orchestrating cross-functional delivery from roadmap to release
An EM here is the connective tissue between Product, Design, and specialist functions - quality engineering, architecture, and security - from estimation through delivery. The hard part isn't running any one of those conversations well; it's running all of them in parallel without becoming the bottleneck they route through. We need an EM who can hold business value and technical soundness in view at once and make the tradeoff calls - not one who stalls when Product wants speed, Security wants rigor, and Architecture wants the durable answer.
Turning AI adoption into throughput without sacrificing craftsmanship
We're not experimenting with AI on the margins. Claude Code, spec-driven development, and AI-assisted review are becoming default workflows here - and we track adoption seriously. We need an EM who can turn "the team uses AI" into measurable throughput without letting quality slip, with real opinions about where AI helps and where it quietly creates debt.
What Success Looks Like (Year 1)
- Every engineer on your team has a documented growth plan within 60 days - and you can speak to it from memory
- Your team ships its committed scope on cadence within 90 days
- Zero surprise departures - you know your retention risks and are actively working them
- Underperformance is addressed directly and documented, not deferred
- The Head of Engineering trusts your team's commitments because you've proven they're reliable
- Your team is visibly more AI-enabled than when you joined - new tools adopted, old manual tasks automated, engineers unblocked faster
Requirements
Who You Are
Deeply AI-integrated, not just AI-aware. You've gone well past "I use ChatGPT to write emails." Your engineers expect you to bring new AI workflows to the team - you've used Claude to accelerate code review, built prompts that help engineers write sharper tickets, or led your team's adoption of Copilot in the development workflow. When you see a task eating team time, your first instinct is to figure out if AI can handle it. You're actively experimenting, sharing what works, and setting the pace on AI adoption for your team - not following someone else's lead. This is unlikely to be a good fit if your AI usage stops at occasional prompting, if you're still evaluating whether the tools are worth the learning curve, or if you'd describe yourself as "AI-curious" rather than AI-native.
A people developer, not just a delivery manager. You can give concrete examples of career growth plans you've built, hard conversations you've had, and underperformers you've managed through a structured process. You spend your 1:1 time on people, not status updates. This is unlikely to be a good fit if your management examples are mostly about process improvements or shipping milestones - or if you tend to blame team outcomes on the engineers rather than the environment you built.
Remote-native. You've led full-remote teams before - not just as a workaround during COVID, but as a default. You know how to build trust without shared physical space, how to run async decision-making, and how to keep distributed engineers from feeling isolated. This is unlikely to be a good fit if you haven't managed a fully remote team in a leadership position, or if you feel like remote work is harder than in-person management.
Direct in conflict. When there's tension on the team - between engineers, between engineering and product, between a team member's performance and what's expected - you address it directly and quickly. You don't let it simmer. This is unlikely to be a good fit if you've left roles or situations because of unresolved conflict, or if your conflict resolution examples are mostly about "creating space for dialogue" without resolution.
Data-driven about people and delivery. You can articulate your team's performance in metrics - not just vibes. You track velocity, retention risk, and IC growth, and you use that data to make decisions. This is unlikely to be a good fit if your answers to performance questions are mostly common-sense observations without examples tied to specific numbers or outcomes.
Technically credible. You stay close enough to the code to earn your engineers' respect - code reviews, architectural input, helping debug under pressure. You don't need to be the best engineer in the room, but your team needs to believe you understand what they're doing. This is unlikely to be a good fit if you've fully transitioned to pure management and haven't touched technical work in years.
A delegator, not a bottleneck. Your job is to build a team that makes good decisions without you - not to be the person all decisions flow through. You coach engineers toward answers rather than providing them. When you go hands-on, it's deliberate and time-bounded, not a default. This is unlikely to be a good fit if your instinct when a team struggles is to take over, if you find yourself becoming the access point for all requests, or if your team's output goes down when you're unavailable.
This Role Is NOT
- A pure technical architect role. The team has senior engineers. Your job is to make sure they're effective and growing, not to be the smartest person in every technical conversation.
- A process manager. We have processes. Your job isn't to document them better - it's to lead the people running them and improve outcomes.
- A stepping stone. We're looking for someone committed to people leadership as their primary craft - not someone who's considering moving back to IC or is ambivalent about managing people vs. building systems.
- A reactive firefighter. We want someone who surfaces risk early and manages it proactively - not someone who thrives in chaos and sees every crisis as a badge of honor.
- An AI skeptic in a leadership seat. We expect our engineering leaders to actively drive AI adoption on their teams, not wait to be convinced.
Benefits
- Rate: $120,000-$140,000 USD annually (contractor), depending on experience
- Location: Fully remote - this role is built for remote-first leaders
- Flexibility: Structured work hours with reasonable flexibility for life
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.
To apply: https://weworkremotely.com/remote-jobs/lawnstarter-software-engineering-manager-5
Leads a cross-functional engineering team of 4-5 engineers, owning delivery outcomes, people development, and team health while reporting to the Head of Engineering.
Headquarters: Mexico
URL: http://lawnstarter.com
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all outdoor home services - pest control, pool cleaning, window cleaning, and more.
About Engineering at LawnStarter
Our engineering team builds the platform that connects hundreds of thousands of homeowners with over 70,000 active service pros. We operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, and we're profitable and growing. Engineering here is fast - we ship constantly, we own our systems end-to-end, and we don't tolerate "not my problem." We have strong processes and existing engineering managers, so you're not building from scratch. You're raising the bar.
The Role
We're growing, and that means adding engineering leadership capacity to support new initiatives. You'll lead cross-functional delivery teams of 4-5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.
This is a people-first role. If your identity as an EM is primarily technical - if you'd rather review architecture than develop an underperformer - this isn't the right fit. If you're the manager who knows what every person on your team needs to grow, who handles conflict directly, and who can articulate team performance in metrics, keep reading.
What makes this role different:
- You'll own both delivery AND people outcomes - neither can be delegated
- Distributed team across time zones, so async leadership and written communication matter as much as meetings
- We move fast and actually ship - you'll feel the difference between a team that's humming and one that's stuck
- AI-forward is not a buzzword here - we expect you to lead your team on how to use it, not just follow along
What You'll Own
- People development: Concrete growth plans for every IC on your team - not just the struggling ones. You know where each person is going and what it takes to get there.
- Delivery: Your team ships on cadence with predictable quality. You surface risk early, manage scope, and don't miss commitments without warning.
- Team health: Conflict gets addressed directly. Underperformers are managed with a clear process. Top performers are protected and developed.
- Cross-functional partnership: You're the interface between your team and Product, Design, and other engineering teams. Decisions get made, not stalled.
- Technical direction: Close enough to the work to weigh in on system design and catch architectural risks. Not so close that you're in the weeds instead of removing blockers.
- AI adoption: You're actively introducing AI tools and workflows into how your team operates - code review, documentation, sprint planning, debugging. You set the pace, not follow it.
Problems to Solve
Building people leadership depth as the team scales
LawnStarter is expanding into new service verticals quickly. That means new headcount, new complexity, and more pressure on EMs to develop the next generation of senior engineers and tech leads - not just ship features. We need an EM who's done this before, not one who's figuring it out.
Managing distributed teams without losing culture or accountability
Our engineering team spans multiple time zones and countries. Async communication, remote 1:1s, and distributed sprint ceremonies are the norm - not a workaround. An EM who needs daily in-person proximity to lead effectively won't thrive here.
Turning delivery consistency into a competitive advantage
We have product-market fit and real momentum. The constraint now is shipping reliably enough to compound on that momentum. Your team's velocity and predictability directly affects LawnStarter's ability to launch new services and capture market share.
Orchestrating cross-functional delivery from roadmap to release
An EM here is the connective tissue between Product, Design, and specialist functions - quality engineering, architecture, and security - from estimation through delivery. The hard part isn't running any one of those conversations well; it's running all of them in parallel without becoming the bottleneck they route through. We need an EM who can hold business value and technical soundness in view at once and make the tradeoff calls - not one who stalls when Product wants speed, Security wants rigor, and Architecture wants the durable answer.
Turning AI adoption into throughput without sacrificing craftsmanship
We're not experimenting with AI on the margins. Claude Code, spec-driven development, and AI-assisted review are becoming default workflows here - and we track adoption seriously. We need an EM who can turn "the team uses AI" into measurable throughput without letting quality slip, with real opinions about where AI helps and where it quietly creates debt.
What Success Looks Like (Year 1)
- Every engineer on your team has a documented growth plan within 60 days - and you can speak to it from memory
- Your team ships its committed scope on cadence within 90 days
- Zero surprise departures - you know your retention risks and are actively working them
- Underperformance is addressed directly and documented, not deferred
- The Head of Engineering trusts your team's commitments because you've proven they're reliable
- Your team is visibly more AI-enabled than when you joined - new tools adopted, old manual tasks automated, engineers unblocked faster
Requirements
Who You Are
Deeply AI-integrated, not just AI-aware. You've gone well past "I use ChatGPT to write emails." Your engineers expect you to bring new AI workflows to the team - you've used Claude to accelerate code review, built prompts that help engineers write sharper tickets, or led your team's adoption of Copilot in the development workflow. When you see a task eating team time, your first instinct is to figure out if AI can handle it. You're actively experimenting, sharing what works, and setting the pace on AI adoption for your team - not following someone else's lead. This is unlikely to be a good fit if your AI usage stops at occasional prompting, if you're still evaluating whether the tools are worth the learning curve, or if you'd describe yourself as "AI-curious" rather than AI-native.
A people developer, not just a delivery manager. You can give concrete examples of career growth plans you've built, hard conversations you've had, and underperformers you've managed through a structured process. You spend your 1:1 time on people, not status updates. This is unlikely to be a good fit if your management examples are mostly about process improvements or shipping milestones - or if you tend to blame team outcomes on the engineers rather than the environment you built.
Remote-native. You've led full-remote teams before - not just as a workaround during COVID, but as a default. You know how to build trust without shared physical space, how to run async decision-making, and how to keep distributed engineers from feeling isolated. This is unlikely to be a good fit if you haven't managed a fully remote team in a leadership position, or if you feel like remote work is harder than in-person management.
Direct in conflict. When there's tension on the team - between engineers, between engineering and product, between a team member's performance and what's expected - you address it directly and quickly. You don't let it simmer. This is unlikely to be a good fit if you've left roles or situations because of unresolved conflict, or if your conflict resolution examples are mostly about "creating space for dialogue" without resolution.
Data-driven about people and delivery. You can articulate your team's performance in metrics - not just vibes. You track velocity, retention risk, and IC growth, and you use that data to make decisions. This is unlikely to be a good fit if your answers to performance questions are mostly common-sense observations without examples tied to specific numbers or outcomes.
Technically credible. You stay close enough to the code to earn your engineers' respect - code reviews, architectural input, helping debug under pressure. You don't need to be the best engineer in the room, but your team needs to believe you understand what they're doing. This is unlikely to be a good fit if you've fully transitioned to pure management and haven't touched technical work in years.
A delegator, not a bottleneck. Your job is to build a team that makes good decisions without you - not to be the person all decisions flow through. You coach engineers toward answers rather than providing them. When you go hands-on, it's deliberate and time-bounded, not a default. This is unlikely to be a good fit if your instinct when a team struggles is to take over, if you find yourself becoming the access point for all requests, or if your team's output goes down when you're unavailable.
This Role Is NOT
- A pure technical architect role. The team has senior engineers. Your job is to make sure they're effective and growing, not to be the smartest person in every technical conversation.
- A process manager. We have processes. Your job isn't to document them better - it's to lead the people running them and improve outcomes.
- A stepping stone. We're looking for someone committed to people leadership as their primary craft - not someone who's considering moving back to IC or is ambivalent about managing people vs. building systems.
- A reactive firefighter. We want someone who surfaces risk early and manages it proactively - not someone who thrives in chaos and sees every crisis as a badge of honor.
- An AI skeptic in a leadership seat. We expect our engineering leaders to actively drive AI adoption on their teams, not wait to be convinced.
Benefits
- Rate: $120,000-$140,000 USD annually (contractor), depending on experience
- Location: Fully remote - this role is built for remote-first leaders
- Flexibility: Structured work hours with reasonable flexibility for life
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.
To apply: https://weworkremotely.com/remote-jobs/lawnstarter-software-engineering-manager-6
Engineering manager leads a cross-functional team of 4-5 engineers, owning delivery outcomes, people development, and team health while shipping products on cadence.
Headquarters: Brazil
URL: http://lawnstarter.com
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all outdoor home services - pest control, pool cleaning, window cleaning, and more.
About Engineering at LawnStarter
Our engineering team builds the platform that connects hundreds of thousands of homeowners with over 70,000 active service pros. We operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, and we're profitable and growing. Engineering here is fast - we ship constantly, we own our systems end-to-end, and we don't tolerate "not my problem." We have strong processes and existing engineering managers, so you're not building from scratch. You're raising the bar.
The Role
We're growing, and that means adding engineering leadership capacity to support new initiatives. You'll lead cross-functional delivery teams of 4-5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.
This is a people-first role. If your identity as an EM is primarily technical - if you'd rather review architecture than develop an underperformer - this isn't the right fit. If you're the manager who knows what every person on your team needs to grow, who handles conflict directly, and who can articulate team performance in metrics, keep reading.
What makes this role different:
- You'll own both delivery AND people outcomes - neither can be delegated
- Distributed team across time zones, so async leadership and written communication matter as much as meetings
- We move fast and actually ship - you'll feel the difference between a team that's humming and one that's stuck
- AI-forward is not a buzzword here - we expect you to lead your team on how to use it, not just follow along
What You'll Own
- People development: Concrete growth plans for every IC on your team - not just the struggling ones. You know where each person is going and what it takes to get there.
- Delivery: Your team ships on cadence with predictable quality. You surface risk early, manage scope, and don't miss commitments without warning.
- Team health: Conflict gets addressed directly. Underperformers are managed with a clear process. Top performers are protected and developed.
- Cross-functional partnership: You're the interface between your team and Product, Design, and other engineering teams. Decisions get made, not stalled.
- Technical direction: Close enough to the work to weigh in on system design and catch architectural risks. Not so close that you're in the weeds instead of removing blockers.
- AI adoption: You're actively introducing AI tools and workflows into how your team operates - code review, documentation, sprint planning, debugging. You set the pace, not follow it.
Problems to Solve
Building people leadership depth as the team scales
LawnStarter is expanding into new service verticals quickly. That means new headcount, new complexity, and more pressure on EMs to develop the next generation of senior engineers and tech leads - not just ship features. We need an EM who's done this before, not one who's figuring it out.
Managing distributed teams without losing culture or accountability
Our engineering team spans multiple time zones and countries. Async communication, remote 1:1s, and distributed sprint ceremonies are the norm - not a workaround. An EM who needs daily in-person proximity to lead effectively won't thrive here.
Turning delivery consistency into a competitive advantage
We have product-market fit and real momentum. The constraint now is shipping reliably enough to compound on that momentum. Your team's velocity and predictability directly affects LawnStarter's ability to launch new services and capture market share.
Orchestrating cross-functional delivery from roadmap to release
An EM here is the connective tissue between Product, Design, and specialist functions - quality engineering, architecture, and security - from estimation through delivery. The hard part isn't running any one of those conversations well; it's running all of them in parallel without becoming the bottleneck they route through. We need an EM who can hold business value and technical soundness in view at once and make the tradeoff calls - not one who stalls when Product wants speed, Security wants rigor, and Architecture wants the durable answer.
Turning AI adoption into throughput without sacrificing craftsmanship
We're not experimenting with AI on the margins. Claude Code, spec-driven development, and AI-assisted review are becoming default workflows here - and we track adoption seriously. We need an EM who can turn "the team uses AI" into measurable throughput without letting quality slip, with real opinions about where AI helps and where it quietly creates debt.
What Success Looks Like (Year 1)
- Every engineer on your team has a documented growth plan within 60 days - and you can speak to it from memory
- Your team ships its committed scope on cadence within 90 days
- Zero surprise departures - you know your retention risks and are actively working them
- Underperformance is addressed directly and documented, not deferred
- The Head of Engineering trusts your team's commitments because you've proven they're reliable
- Your team is visibly more AI-enabled than when you joined - new tools adopted, old manual tasks automated, engineers unblocked faster
Requirements
Who You Are
Deeply AI-integrated, not just AI-aware. You've gone well past "I use ChatGPT to write emails." Your engineers expect you to bring new AI workflows to the team - you've used Claude to accelerate code review, built prompts that help engineers write sharper tickets, or led your team's adoption of Copilot in the development workflow. When you see a task eating team time, your first instinct is to figure out if AI can handle it. You're actively experimenting, sharing what works, and setting the pace on AI adoption for your team - not following someone else's lead. This is unlikely to be a good fit if your AI usage stops at occasional prompting, if you're still evaluating whether the tools are worth the learning curve, or if you'd describe yourself as "AI-curious" rather than AI-native.
A people developer, not just a delivery manager. You can give concrete examples of career growth plans you've built, hard conversations you've had, and underperformers you've managed through a structured process. You spend your 1:1 time on people, not status updates. This is unlikely to be a good fit if your management examples are mostly about process improvements or shipping milestones - or if you tend to blame team outcomes on the engineers rather than the environment you built.
Remote-native. You've led full-remote teams before - not just as a workaround during COVID, but as a default. You know how to build trust without shared physical space, how to run async decision-making, and how to keep distributed engineers from feeling isolated. This is unlikely to be a good fit if you haven't managed a fully remote team in a leadership position, or if you feel like remote work is harder than in-person management.
Direct in conflict. When there's tension on the team - between engineers, between engineering and product, between a team member's performance and what's expected - you address it directly and quickly. You don't let it simmer. This is unlikely to be a good fit if you've left roles or situations because of unresolved conflict, or if your conflict resolution examples are mostly about "creating space for dialogue" without resolution.
Data-driven about people and delivery. You can articulate your team's performance in metrics - not just vibes. You track velocity, retention risk, and IC growth, and you use that data to make decisions. This is unlikely to be a good fit if your answers to performance questions are mostly common-sense observations without examples tied to specific numbers or outcomes.
Technically credible. You stay close enough to the code to earn your engineers' respect - code reviews, architectural input, helping debug under pressure. You don't need to be the best engineer in the room, but your team needs to believe you understand what they're doing. This is unlikely to be a good fit if you've fully transitioned to pure management and haven't touched technical work in years.
A delegator, not a bottleneck. Your job is to build a team that makes good decisions without you - not to be the person all decisions flow through. You coach engineers toward answers rather than providing them. When you go hands-on, it's deliberate and time-bounded, not a default. This is unlikely to be a good fit if your instinct when a team struggles is to take over, if you find yourself becoming the access point for all requests, or if your team's output goes down when you're unavailable.
This Role Is NOT
- A pure technical architect role. The team has senior engineers. Your job is to make sure they're effective and growing, not to be the smartest person in every technical conversation.
- A process manager. We have processes. Your job isn't to document them better - it's to lead the people running them and improve outcomes.
- A stepping stone. We're looking for someone committed to people leadership as their primary craft - not someone who's considering moving back to IC or is ambivalent about managing people vs. building systems.
- A reactive firefighter. We want someone who surfaces risk early and manages it proactively - not someone who thrives in chaos and sees every crisis as a badge of honor.
- An AI skeptic in a leadership seat. We expect our engineering leaders to actively drive AI adoption on their teams, not wait to be convinced.
Benefits
- Rate: $120,000-$140,000 USD annually (contractor), depending on experience
- Location: Fully remote - this role is built for remote-first leaders
- Flexibility: Structured work hours with reasonable flexibility for life
LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.
To apply: https://weworkremotely.com/remote-jobs/lawnstarter-software-engineering-manager-3
Staff-level software engineer building AI-powered IoT and fleet management products at scale, owning zero-to-one problem spaces end-to-end.
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:
In this role, you will:Â
Minimum requirements for the role:
An ideal candidate also has:
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 USDTotal 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 WorkingÂ
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
Serves as primary post-sales contact ensuring successful platform implementations, technical deployments, and long-term customer health for an AI platform.
Headquarters: Remote - US
About Glean:  Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.  At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.  Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.  If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role:  As an AI Success Manager (AISM), you will serve as the primary post-sales point of contact, accountable for platform health. The AISM is a hands-on role where you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building, then delivering against, joint success plans and EBRs. AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D on scoped engagements.  You will:The standard OTE range for this position is $120,000-$170,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-REMOTE
 AI-First Mindset at Glean:  At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.  Global Data Privacy Notice for Job Candidates and Applicants:  Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.To apply: https://weworkremotely.com/remote-jobs/glean-ai-success-manager-central
Manages post-sales customer success and platform health for enterprise AI software, orchestrating implementations and ensuring customer adoption.
Headquarters: Remote - US
About Glean:  Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.  At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.  Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.  If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role:  As an AI Success Manager (AISM), you will serve as the primary post-sales point of contact, accountable for platform health. The AISM is a hands-on role where you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building, then delivering against, joint success plans and EBRs. AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D on scoped engagements.  You will:The standard OTE range for this position is $140,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-REMOTE
 AI-First Mindset at Glean:  At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.  Global Data Privacy Notice for Job Candidates and Applicants:  Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.To apply: https://weworkremotely.com/remote-jobs/glean-ai-success-manager-east
Generates leads and closes deals for a remote workforce outsourcing platform, selling services to small and medium-sized businesses.
Designs, develops, and integrates end-to-end analytics and machine learning solutions to enable product, business, and operational decisions.
Manages paid advertising campaigns and performance marketing strategies to drive revenue growth for an ecommerce coffee equipment company.
Prepares tax documents, maintains client accounts, and ensures compliance with tax regulations for a remote accounting firm.
Provides tax preparation and advisory services to clients as a licensed CPA or Enrolled Agent.
Designs, configures, and maintains network infrastructure including firewalls, proxies, and Cisco network services.
QA automation engineer designs and implements automated test suites for web applications, APIs, and backend services while performing manual testing and database validation.
About the Role
We’re looking for an experienced QA Engineer to join our team and help ensure the quality and reliability of technology-driven products at scale. This role is ideal for someone who thrives on catching what others miss — building automated coverage that lasts, and digging into logs, databases, and cloud infrastructure to find the real cause of a failure, not just its symptoms.
The ideal candidate brings strong hands-on testing experience across web applications, APIs, and backend services, with the technical range to move between writing automated test suites, validating data with SQL, and troubleshooting issues across distributed, cloud-based systems.
This position is open to candidates based in LATAM.
Responsibilities
Qualifications
Why Join Nimble Gravity?
You’ll help leading financial institutions and other clients adopt AI in meaningful ways. You’ll work directly with clients, engineers, and AI specialists to turn emerging technology into measurable business outcomes. If you enjoy teaching, facilitating, influencing, and helping people embrace new ways of working, we’d love to talk.
Nimble Gravity is an Equal Opportunity Employer and considers applicants without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Account Executive drives sales growth by identifying and closing deals with SME customers, managing the full sales cycle from prospecting through contract closure.
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You’re humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
The SME & Growth Business team at Airwallex is a passionate group of collaborators and business champions dedicated to empowering small and medium-sized enterprises (SMEs) to thrive in the global economy. We combine deep financial expertise with a growth mindset, working closely with our clients to understand their unique needs and develop tailored solutions that streamline cross-border payments and unlock new revenue streams. As a team, we are driven by a desire to make a positive impact and are constantly innovating to find new ways to support the success of our SME customers.
Airwallex is seeking driven Account Executives to join our SME & Growth Business team in the Americas. You will help further our expansion in the US SME market, serving customers across key verticals such as ecommerce, SaaS, professional services, and other technology‑enabled businesses.
In this role, you will lead the full sales cycle from prospecting through negotiation, close, and initial ramp, coordinating internal stakeholders to support a smooth onboarding and strong customer outcomes. You’ll translate complex products into clear business value for SME customers. You will also represent Airwallex at relevant industry events and engage with technology partners that complement our product suite.
This remote role is open to candidates in Mountain and Central Time Zones.
Drive the full sales cycle from prospecting to closing deals, including ramping and early customer success.
Develop deep product expertise in Airwallex’s platform and technical solutions, particularly for payments acceptance, cross-border payments, billing or spend management, to effectively serve SME and Growth customers across verticals such as ecommerce, SaaS, technology, professional services, etc.
Exceed revenue targets through strategic positioning of our financial technology suite.
Conduct technical and commercial consultations to identify client needs and propose tailored solutions.
Collaborate with legal, finance, and strategy teams to negotiate and execute partnership agreements and commercial contracts.
Contribute to the refinement of sales processes to enhance efficiency and scalability, including developing new verticals and enhancing our sales motion.
Set the standard for excellence within our sales function through exemplary performance, documentation of best practices, and teamwork.
We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum 2 years of full cycle fintech sales experience or proven success selling into finance departments.
Track record of exceeding sales targets in a technical or solution‑based selling environment.
Experience selling to one or more of the following: ecommerce, SaaS / subscription businesses, spend management or finance teams, or other technology‑enabled / professional services verticals.
Proven track record of consistent pipeline generation and outbound efforts.
Proficiency with CRM systems (for example, Salesforce) and sales enablement tools.
Excellent analytical, written, and verbal communication skills.
Bachelor’s degree or equivalent professional experience.
Experience in or strong exposure to the fintech ecosystem, such as payments, FX, or related financial infrastructure.
Deep understanding of common challenges faced by SME & Growth companies operating or expanding internationally.
A customer‑focused, consultative approach to sales.
Strategic thinker capable of engaging in high‑level partnership and commercial strategy discussions.
Solution‑oriented problem‑solver with a “Figure It Out” mentality.
Adept at balancing multiple priorities in a dynamic, high‑growth environment.
Self‑motivated with a strong sense of accountability for achieving key performance indicators.
Track record of contributing to new product launches, new vertical plays, or market expansions.
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Leads Adobe practice architecture, mentors a distributed team of architects, sets technical standards, and serves as escalation point for complex design and integration problems across enterprise engagements.
Code and Theory is a digital-first creative and technology agency that builds products, platforms and experiences for global brands. We combine engineering, design, data and strategy to deliver transformative digital solutions at scale.
This role leads the architecture pillar of the Adobe practice. You will be the senior architectural authority across every Adobe engagement we run, and the person our architects look to for technical direction, career growth and advocacy. You will also be the technical face of Code and Theory everywhere including Adobe - in front of their field teams, in front of their clients, and in the rooms where solutions get shaped before anyone writes a line of code.
This is not a role for someone who has stopped architecting. It is a leadership role for a practicing architect who wants to build and lead a team of them.
WHAT YOU’LL DO
WHAT YOU’LL NEED
20+ years in technology, including 5+ years leading architects or senior technical staff globally. (India, LATAM etc)
Demonstrated ownership of performance reviews, career development and compensation decisions - not mentoring alone
Experience in an agency, consultancy or systems integrator, carrying multiple concurrent clients
Experience delivering across US, India and LATAM specifically
Deep, hands-on architectural expertise in at least one of the following:
Working architectural knowledge across all three areas of architectural expertise, sufficient to review a design, challenge a decision, and hold a client conversation
Experience with enterprise integration architecture (CRM, commerce, search, identity and SSO, analytics, data platforms)
Experience with modern architecture patterns (API-first, composable, headless versus hybrid, cloud-native, event-driven)
Still close enough to the work to earn respect from architects and engineers, not as the primary implementer, but the ability to read the code, diagnose the problem and defend the decision
Proven experience leading complex projects that include Data migration, customer journeys, CSC, legacy CMS to AEM, on-premise to AEMaaCS, and into Edge Delivery Services
Hands-on daily use of AI engineering tools like Claude, Cursor, or equivalent
Demonstrated experience building agents, sub-agents or orchestrated workflows, not only consuming AI tooling
Track record of establishing AI-assisted practice across a team, including bringing skeptics along
Judgment about where AI output needs a human in the loop, and the guardrails to enforce it
Pre-sales ownership including estimation, staffing models, scope definition, pricing input and presenting in the room
Executive stakeholder management, including the ability to hold a boardroom conversation and an architecture review in the same day
An understanding of utilization, margin and why an inaccurate estimate is an architectural failure as much as a commercial one
Experience with enterprise clients across US, EU and APAC
Own the technical relationship with Adobe’s field, product and partner organizations
Represent us in Adobe’s partner ecosystem: beta programs, Experience League, user groups, Summit, and the conversations that earn early access
Bring Adobe’s roadmap back into the practice, and our field learning back to Adobe
Experience with commercial negotiations and contract development
Experience leading distributed teams across time zones, with genuine working relationships in offshore delivery centers rather than nominal ones
Comfort operating in a practice that is being built rather than one that is already running
Willingness to travel for client engagements, Adobe events and time with delivery teams
ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.
The compensation range for this role is $225,000 - $300,000 and spans multiple levels. We’re open to hiring at the level that best matches the right candidate’s experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.
