Developer Advocate, Research and Content
About Faros
Faros gives engineering leaders the visibility and control to maximize AI engineering outcomes, while managing costs and keeping every team within policy. Some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises, use Faros to see what their AI investment actually ships, diagnose what's holding it back, and tune it continuously. We are defining how enterprises operate AI engineering, and the story is being written in real time.
About the Role
Faros helps engineering leaders see and improve how software actually gets built. Our buyers are VPs of Engineering and CTOs, and they read the way engineers read: they trust data, primary work, and people who clearly know the field. You'll be the technical voice of Faros in the market. That means owning the content that creates demand for us: original research built on our engineering data, and editorial work that shapes how the market thinks about AI-native engineering. Our AI Engineering report is the proof point and your starting asset. You'll build it into a collection of data-driven reports the industry cites, and back it with field guides, frameworks, and points of view the market doesn't have words for yet. This is a content-first DevRel role. The job is educating the industry on how to use AI engineering effectively, and generating awareness for Faros by doing it well. There's no community to manage, no support queue, no docs backlog. Just research, writing, and being credible in front of a technical audience. Search-driven content is owned separately.
What you'll do
Own the research content program: concept, methodology, analysis, and publication of reports built on Faros engineering data
Partner with our data and engineering teams to interrogate the dataset, find the cuts worth publishing, and kill the ones that mislead
Build the editorial content that shapes the category: field guides, frameworks, and opinions engineering leaders repeat in their own words
Represent the research in market: webinars, podcasts, conference talks, and analyst conversations
Atomize each report cycle into derivative assets the demand gen and sales teams can run with
Measure what your content does: what gets cited, what converts to intent, and feed that back into what you make next
What we're looking for
You've shipped developer-facing research with your name on it: a State of X report, an ecosystem survey, a benchmark study
You're fluent enough in data to be a real partner to engineers: you can interrogate a dataset, spot the finding worth leading with, and know when a cut of the numbers is misleading
You write for engineers the way the best developer-facing companies do. We hold a high bar on register and will test for it
You're comfortable being the face of the work: on stage, on a podcast, in a room with a skeptical CTO
You'd rather publish one thing people cite than ten things people skim
Nice to Have
Background in software engineering or data analysis
Familiarity with the engineering leadership space: DORA, developer productivity, AI-assisted development
Experience producing or scripting short video for technical audiences
How we'll evaluate
Portfolio first. Then a paid exercise using real Faros data.
Research Content Lead
About Faros
Faros gives engineering leaders the visibility and control to maximize AI engineering outcomes, while managing costs and keeping every team within policy. Some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises, use Faros to see what their AI investment actually ships, diagnose what's holding it back, and tune it continuously. We are defining how enterprises operate AI engineering, and the story is being written in real time.
About the Role
You'll own the content that creates demand for Faros: reports, guides, blogs, video, and the assets that fuel our campaigns. Research is the centerpiece: reports built on our engineering data that only Faros can publish. Our buyers are VPs of Engineering and CTOs, so everything you publish has to hold up to a technical audience. Our AI Engineering report set the standard for how we do this, and it's working. Your job is to scale it into a full program of reports and content assets. You'll report to the CMO and work as a peer to our product marketing and content leads. Search-driven content is owned separately. Your lane is the content only Faros can make.
Responsibilities
Own the strategy and roadmap for our content: what we publish, when, and how the portfolio compounds over time
Build a collection of data-driven reports, starting from our AI Engineering report, and own each one from concept and methodology through writing and launch
Partner with our engineering and data teams to find the stories in the data and land claims that survive a technical audience
Run the content calendar around each report: the findings, charts, and short-form pieces built to be cited by people and AI engines
Write the editorial pieces that give Faros a point of view: field guides, frameworks, and arguments the market doesn't have yet, gated where they fuel demand gen
Define how content attaches to pipeline, and own that scorecard with demand gen and marketing ops
Hold the line on how Faros writes about data: precise, quantified, engineer-to-engineer
What We Value
Quality over volume. You'd rather publish one report people cite for a year than twelve posts people skim. You notice the weak claim and cut it before anyone else sees it.
Ownership over process. If it has a number in it and the Faros name on it, you've checked the number. You don't wait for a brief to kill a finding that doesn't hold up.
Transformational over predictable. The data can support safe observations or claims nobody has made yet. You look for the second kind and do the work to earn them.
Intensity over comfort. Your findings go in front of buyers, press, and skeptical engineers who will check your math. You like that.
Living by our values over avoiding conflict. When the data says something inconvenient, you say it. You'd rather lose an argument than publish something soft.
Required Qualifications
6+ years in content, editorial, or research roles for a technical audience, with real ownership of what got published
You've shipped a research report or benchmark study with your name on it
Experience at early-stage startups where you were the marketing infrastructure. Self-sufficient, resourceful, and able to ship without a team behind you
You have fluency with data. You can interrogate a dataset with the people who built it, spot the finding worth leading with, and know when a cut of the numbers is misleading
Strong, fast writing in an engineer's register; writing samples required
You've owned a content program, not a queue: strategy, calendar, and the judgment about what not to publish
You can connect content to revenue: you've defined what success looks like and answered for it
Nice to Have
A background in software engineering, data analysis, or data journalism
Video skills, from scripting to producing short-form for technical audiences
Familiarity with the engineering leadership space: DORA, developer productivity, AI-assisted development
You use AI in your own research and writing workflow and have opinions about where it breaks
Product Marketing Lead
About Faros
Faros gives engineering leaders the visibility and control to maximize AI engineering outcomes, while managing costs and keeping every team within policy. Some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises, use Faros to see what their AI investment actually ships, diagnose what's holding it back, and tune it continuously. We are defining how enterprises operate AI engineering, and the story is being written in real time.
About the Role
We're looking for a technical product marketer to drive how Faros is positioned in the fast-moving AI engineering market. You get to craft the story we tell and keep pace with the market without losing precision. You own it, and every surface where it meets the market.
The audience is engineering leaders and the engineers who influence them. They're allergic to marketing that smells like marketing, so everything you ship has to be technically true and lead with authenticity and precision instead of jargon and filler. You know what good looks like for a technical audience at every altitude, from the positioning narrative down to the word choice on a banner ad, and you sharpen it as the market moves. You'll lead core product marketing: messaging, the website, launches, campaigns, sales enablement, and content.
You'll work directly with the CMO, CEO, and product, and your work goes in front of buyers, analysts, and investors within days of writing it.
Responsibilities
Build and maintain the core messaging and positioning for Faros, keeping every claim tied to shipped product and evolving the narrative as the market moves
Write and own the website's message architecture and copy, treating it as our highest-traffic salesperson
Equip sales with decks, battle cards, competitive intel, objection handling, and demo narratives built from real call data and kept current
Run product launches end to end, deciding what we say, where we say it, what sales gets, and what the market hears
Bring your own quarterly campaign ideas backed by research, then partner with demand generation to build and run them
Build gated assets that fuel demand programs: industry reports, assessments, calculators, and education etc. that a buyer will trade their contact for
Set and hold the quality bar on everything a buyer sees, from ad copy and banners to headlines, emails, and social posts
Develop customer proof that gives skeptical buyers evidence: case studies, win stories, and testimonials
Create content engineering leaders actually share, including reports, blogs, technical narratives, and webinars
Track your pipeline impact, knowing which campaigns and content source and influence deals, and adjusting to what the data says
What We Value
Craftsmanship over throughput. You'd rather ship one page an engineer trusts than ten pages that read like everyone else's. You notice the extra adjective and the vague verb, and you cut them.
Ownership over process. If it carries the Faros name, you've read every word. You don't wait for a brief to fix a weak headline.
Transformational over predictable. The category is forming now. You'd rather write the claim that defines it than optimize the one that's safe.
Intensity over comfort. Your work goes in front of buyers, analysts, and investors within days of writing it. You like that pace.
Living by our values over avoiding conflict. You have a point of view and defend it with evidence. You'd rather lose an argument than ship something weak.
Required Qualifications
6+ years in product marketing at a dev tools, infrastructure, or AI company, with real ownership of messaging and launches
Technical degree, computer science or a related engineering field; MBA preferred
Experience at early-stage startups where you were the marketing infrastructure: self-sufficient, resourceful, and able to ship without a team behind you
Proven experience marketing to engineering buyers, with instincts for what they respect that are demonstrated, not theoretical
Technical depth to read API docs, follow an architecture discussion, and question engineers without a translator
Strong, fast writing with first drafts that are usable and final drafts that are tight; writing samples required
Have an operational mindset. You think in pipeline, conversion, and shipped work, and you've been accountable to a number
Demonstrated taste, in words and in how things look and feel, and the ability to articulate why something is good rather than just accurate
Nice to Have
Video skills, from scripting to directing short product and social video
Experience marketing against or alongside AI coding tools
You use AI agents in your own workflow and have opinions about where they break
AI-Native Builder
About Faros
Software engineering is undergoing the largest transformation in its history.
As organizations invest heavily in AI for software development, they're facing a new set of questions: Where is AI actually being used? What impact is it having? Which investments are creating value? Where are teams getting stuck? And how do humans and AI work together effectively at scale?
Faros helps organizations answer those questions.
We sit at the center of the engineering operating system, connecting data across code, pull requests, deployments, work tracking systems, developer workflows, and AI tools. This gives us a uniquely rich view into how software is being built, how AI is being adopted, and what outcomes organizations are actually getting from those investments.
That same operational context is also what makes AI effective in large, complex enterprises. AI performs best when it understands the systems, people, processes, codebases, and business context surrounding a decision. Faros helps create and organize that context, enabling AI systems to operate with greater accuracy, relevance, and trust in environments that are often fragmented, messy, and difficult to navigate.
We believe the next generation of engineering organizations will be powered by a combination of human judgment, AI capabilities, and rich operational context. Faros is building the foundation that helps all three work together.
Our customers include some of the world's most sophisticated engineering organizations, including Autodesk, Discord, Coursera, and others.
About the Role
We are looking for AI-Native Builders.
This is not a traditional software engineering role. We are not looking for people who simply use AI tools. We are looking for builders who understand that the scarce resource is no longer code — it is judgment.
As an AI-Native Builder, you will identify opportunities, rapidly test ideas, build products, automate workflows, create capabilities, design evaluation systems, and help define how engineering itself evolves in the age of AI.
You may build software products, internal platforms, agent workflows, evaluation frameworks, data systems, automation pipelines, prototypes, or entirely new capabilities that do not yet fit into a traditional organizational chart.
Success in this role is measured by outcomes, learning velocity, and leverage — not by lines of code written.
You will:
Build the intelligence layer that helps engineering organizations understand how work happens across people, code, systems, and AI
Create agents and workflows that use Faros's operational context to assist with engineering planning, delivery, review, quality, reliability, and decision-making
Design the context systems, memory, tooling, and retrieval capabilities that allow AI to operate accurately within the messy realities of enterprise software development
Build evaluation frameworks that measure the effectiveness of humans, AI, and human-AI systems against real engineering outcomes
Develop reusable platform capabilities that make it easier for customers to build, deploy, govern, and improve AI-powered engineering workflows
Rapidly experiment with emerging models, tools, and techniques, turning promising ideas into customer-facing capabilities
Use data and evidence to identify bottlenecks in software delivery and create products that help organizations continuously improve
Help define what great engineering looks like in a world where humans and AI build software together
What We Value
Outcomes over activity
The goal is not token maxxing. The goal is not more lines of code, more prompts, or more pull requests. The goal is creating value.
Leverage over labor
As the cost of execution falls, the ability to create leverage becomes increasingly valuable. AI-native builders create systems, workflows, context, automation, and capabilities that amplify the output of people, teams, and agents.
Learning velocity over existing expertise
The half-life of knowledge continues to shrink. The people who thrive won't necessarily be those who know the most today, but those who can learn, adapt, and reconfigure themselves the fastest as the landscape changes.
Experiments over opinions
The cost of testing ideas has never been lower. When uncertainty exists, we should prefer evidence over debate. We learn by building.
Capabilities over interfaces
We're no longer building exclusively for humans. Agents should be treated as first-class citizens. Great builders create capabilities that can be composed, reused, automated, and leveraged by people, agents, workflows, and systems alike.
Systems over silos
AI lowers the cost of operating outside your specialty, making it possible for individuals to contribute across product, design, frontend, backend, data, and operations in ways that were previously impractical. The most effective builders will combine depth in one area with the ability to navigate many others.
Human judgment over human execution
Humans should increasingly spend their time deciding, evaluating, designing, and guiding. Machines should increasingly spend their time executing.
Required Qualifications
We care far more about evidence of exceptional building than specific credentials.
You will likely demonstrate many of the following:
Strong software engineering fundamentals
A history of building products, systems, tools, automation, workflows, or side projects
Demonstrated ability to learn new technologies quickly and independently
Experience using AI to accelerate development, research, analysis, or decision-making
Strong problem-solving skills and comfort operating in ambiguous environments
Ability to rapidly move from idea to implementation
Evidence of curiosity, initiative, and self-directed learning
Excellent written and verbal communication skills
Strong judgment and an ability to reason through tradeoffs
A bias toward action and experimentation
Preferred Qualifications
The strongest candidates often demonstrate one or more of the following:
Built systems, platforms, tools, or workflows adopted by teams or organizations
Designed AI agents, agentic workflows, evaluation frameworks, or AI-powered products
Built automation that significantly improved organizational productivity
Open-source contributions, hackathon projects, startups, research projects, or other evidence of self-directed building
Deep experimentation with modern AI models, agents, developer tools, or emerging technologies
Experience navigating major technology shifts and helping others adapt
A track record of identifying important opportunities before they become obvious
Software Engineer - New Grad
Mission 🚀
At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
About the Role
We’re looking for software engineers who want to help build the future of engineering operations. You will spend a significant portion of your time writing code, building foundational systems, and solving complex technical challenges at scale. Working closely across product, data, and engineering, you will help design the context graph and operational data platform that power Faros, bringing together signals from across the software development lifecycle. You will also help pioneer a new generation of AI systems and agents that use this rich context to help engineering organizations build software more intelligently and effectively.
What we value
Living by our values over avoiding conflict. We favor transparency and honest debate because strong decisions depend on saying the hard things out loud.
Transformation over predictability. We dedicate our efforts to work that produces monumental outcomes for our customers, even if it means trading short-term predictability for long-term impact.
Intensity over comfort. We move with urgency and focus, especially when the work is messy or unstructured.
Craftsmanship over throughput. We take pride in how things are built. Quality, coherence, and care matter. We would rather ship fewer things done right than many things done carelessly.
Ownership over process. We act like founders. If we see something broken, we fix it. We don’t wait for permission, committees, or perfect instructions. Process exists to help us move faster, not to give us an excuse to stand still.
Baseline Requirements
Education: Bachelors or masters degree in Computer Science, or equivalent real-world experience
Communication: Strong written and verbal communication skills
AI Fluency: Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalents), embeddings, vector stores, tool use, prompt design, and evaluation. Not just current tool mastery, but persistence, curiosity, and vision.
Preferred Qualifications
Proficiency in TypeScript + Node.js and/or Python
Experience designing/consuming REST/GraphQL APIs
Experience with building & productionizing web services, data pipelines, ETL/ELT, orchestration frameworks
Strong database fundamentals (SQL/NoSQL)
Work Details
Our team meets in-person several days a week in San Mateo, CA.
Product Manager, AI Native Initiatives
Mission 🚀
At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
About the Role
This is a role for a seasoned, hands-on Product Manager, who wants to be in the work, not above it. You will own a meaningful surface area of our new AI-native product line. Possible surfaces include the agent–human collaboration layer (how engineers review, steer, and approve agent work), the AI/eval layer (model selection, eval frameworks, quality/cost/latency trade-offs), or the integration layer, where this product integrates with our existing Faros platform.
For the next 12 to 18 months, you will personally write requirements, craft prototypes with modern AI tools, sit in architecture conversations with senior ICs, and be the person who decides what ships and when in. You will be in customer conversations every week. You will set the bar for what "awesome" looks like and be accountable for it.
You will work shoulder to shoulder with our Head of Product, Head of Design, Tech Leads and senior engineers on this team, and have direct exposure to our founders and our broader leadership team. The PDE triad — Product, Engineering, and Design — operates as equal peers at Faros. You will hold a distinct, unapologetic product voice in every conversation.
This is not a coordination role and not a process role. If your last few years have been mostly running rituals, herding tickets, and writing decks, this one will feel off.
What You'll Do
Own a surface end-to-end. Define the wedge, craft the requirements, bring them to life, ship the first version, and iterate to product–market fit. Success is measured in customer outcomes — usage, repeat engagement, CSAT, design-partner-to-paid conversion — not features shipped.
Prototype and ship yourself. Modern AI tools have rewritten what a single PM can do. We expect you to take full advantage of it. Build clickable prototypes using the latest and greatest tools. Spin up a working agent in a notebook to test a hypothesis. Put working software in front of customers in days, not sprints. If you have not touched a codebase or a model API in years, this might not be the role for you.
Make hard technical tradeoffs. Agentic systems force daily decisions across quality, latency, cost, reliability, and user trust. You will be in the room for those tradeoffs in your area, push back when something does not feel right, and be able to explain the call to your team, your customers, and our leadership team.
Design for human-in-the-loop agentic systems. Every design decision has to account for where agents are strong, where they fail, what the Faros context brings to the table, and how humans stay meaningfully in the loop without becoming the bottleneck. You will have an opinion on what that should feel like, and the evidence to back it up.
Run the eval and learning loop. What "good" looks like for an agent product is not obvious, and it changes as models change. You will help us define the evals, instrument the product, read the traces, and translate what you see into the next iteration.
Partner across the PDE triad. Your design counterpart will co-own the experience. Your engineers will be your technical architecture collaborators. Your job is to make the product better than any one of you could on your own — and to be the person who makes the decision when consensus is not reachable.
Work directly with customer teams. Your job will be to test your hypotheses, directly with our customers and partners, and iterate quickly to ensure they can feel the value. You will be in their rooms — sometimes literally — learning what customers actually need and translating it back into the product.
What We Value
Living by our values over avoiding conflict. We favor transparency and honest debate because strong decisions depend on saying the hard things out loud.
Transformation over predictability. We dedicate our efforts to work that produces monumental outcomes for our customers, even if it means trading short-term predictability for long-term impact.
Intensity over comfort. We move with urgency and focus, especially when the work is messy or unstructured.
Craftsmanship over throughput. We take pride in how things are built. Quality, coherence, and care matter. We would rather ship fewer things done right than many things done carelessly.
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Ownership over process. We hand PMs problem spaces, not tasks. We trust them to drive their domain end to end, bring the right people along, and expand what the team is capable of.
Required Qualifications
Experience & DNA: 6+ years in product management, ideally with at least 2+ years building AI/ML or LLM-powered products. Startup experience strongly preferred. You have shipped at least one product or major feature from a blank page to real customers, and you can tell that story in detail — including what you would do differently if you ran it back.
Technical Depth: You have been an engineer at some point in your career, or your product work has been deeply technical enough that engineers respect your architectural instincts. You can read the code, you have opinions on the system design, and you can make the tradeoffs without outsourcing them. Comfortable in technical conversations about API design, system architecture, and prompt engineering. Knowing how to play around with data and draw conclusions is a baseline requirement.
AI Fluency: Hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalents), embeddings, vector stores, tool use, prompt design, and evaluation. Not just current tool mastery, but persistence, curiosity, and vision. You experiment with AI tools in and outside of work, you do not give up when they fail, and you can articulate where this industry is heading in the next few years and how teams should operate in it.
Player-Builder Mentality: You do not want just to direct the work; you want to be in it. You prototype. You write. You ship. You dogfood aggressively and dig into the logs to understand why an agent failed. You use modern AI tools aggressively to multiply your own output.
Opinionated with an Open Mind: You hold strong product convictions and will push back on a Head of Product, a customer, or a head of engineering when you think they are wrong. You also take "you are wrong" with curiosity, not defensiveness or submission.
Outcome-Driven Mindset: You understand that great products drive business. You will be measured not just on shipping, but on customer satisfaction (CSAT), engagement, and our ability to convert design partners and prospects into successful, closed deals.
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Hacker Spirit: You love solving puzzles. You are happier with a hard, ambiguous problem than a clean, well-scoped one. You poke at edges, ask uncomfortable questions, and would rather find problems yourself than have them find you. You get restless when the work gets too comfortable.
Preferred Qualifications
Domain experience in developer tools, engineering productivity, dev infrastructure, coding assistants, or agent platforms.
You have shipped a product at a Series A or Series B startup, not just in a large company.
You have worked on products where humans and AI agents collaborate on the same work, and you have a point of view on what that should feel like.
You have seriously experimented with modern AI-native tools (Cursor, Claude Code, Codex, Devin, v0, Replit Agent, or equivalents) and have opinions on where each of them wins and loses.
You have built and run eval frameworks for an agentic or LLM-powered product in production — and have war stories about what broke when models changed under you.
CS degree or equivalent engineering background.
Other
Location: San Mateo, CA (Seattle considered in exceptional cases)
Location Type: Hybrid (with in-office attendance three days a week)
Forward Deployed Engineer
Mission 🚀
Faros advances those who build. Our platform brings all engineering data into a single pane of glass, giving teams unprecedented visibility and insights across their software development lifecycle. This deep operational context supports engineering leaders today, and is increasingly essential as AI agents begin to operate within real software delivery environments. Our mission: to forge a world where engineering moves at the speed of ideas.
About the Role
We are seeking a Forward Deployed Engineer to drive high-impact outcomes for our customers by delivering technical solutions, uncovering engineering challenges, and helping shape the future of the Faros platform. We're looking for a curious, technically sharp new graduate to join our Forward Deployed Engineering team. In this role, you'll work directly with customers helping them get real, measurable value out of the Faros platform.
This isn't a typical entry-level job. You'll own real work: building integrations, configuring dashboards, writing data transformations, and solving novel technical problems alongside experienced FDEs and Account Executives. You'll be in front of customers early and expected to iterate fast.
We're specifically looking for people who are already using AI tools in how they build and think, and who are excited about working in an environment where the norms are still being written.
Responsibilities
Working with Customers
Work directly with customers to understand their engineering workflows and technical pain points.
Assist in and eventually lead technical evaluations and POCs of the Faros platform.
Communicate findings and solutions clearly to both technical and non-technical stakeholders.
Hands-On Technical Delivery
Build and configure custom integrations, dashboards, and data pipelines to solve customer problems.
Work across the stack - APIs, data infrastructure, visualization - with guidance from senior FDEs.
Iterate quickly based on customer feedback and real-world usage.
Use AI coding assistants and modern tooling as a core part of how you build.
Learning & Product Influence
Identify patterns across customer engagements and bring insights back to the product team.
Participate in roadmap discussions with grounded, field-tested observations.
Grow rapidly: the expectation is that you'll take on increasing ownership over time.
What We Care About
Living by our values over avoiding conflict - We speak honestly, act transparently, and choose the hard right over the easy wrong.
Transformation over predictability - We pursue work that meaningfully changes what's possible, even when the path is uncertain.
Intensity over comfort - We bring energy and urgency to the work, especially when it's hard.
Craftsmanship over throughput - We take pride in how things are built. Quality and coherence matter.
Ownership over process - We act like founders. If something is broken, we fix it without waiting for permission.
Required Qualifications
Bachelor or Master's degree in Computer Science, Engineering, or a related technical field
Programming fundamentals in at least one language (Python, JavaScript, etc.).
AI-savviness: you already use AI coding assistants, LLM APIs, or AI-powered tools as part of how you build.
What We'll Evaluate
Communication - Can you explain a technical concept clearly to someone who isn't an engineer?
Ambiguity tolerance - Can you take a vague problem and make it concrete?
Customer orientation - Do you genuinely care about the person on the other side of the work, not just the technical puzzle?
Sales Engineer (Bay Area)
Mission 🚀
At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
About the Role
We are seeking a Sales Engineer to drive revenue and high-impact outcomes for our customers by leading the technical side of complex sales cycles. You work directly with prospects and customers - from execs to engineers - owning the technical strategy end-to-end, from discovery through solution design, proof-of-value, and deal close. You are technically credible, and deeply informed on where the market is heading for engineering intelligence, developer productivity, and AI-enabled software delivery. You contextualize Faros AI within that landscape and elevate conversations from feature comparison to strategic positioning. This is a quota-carrying role working in close partnership with Account Executives.
Responsibilities:
Own Technical Strategy for Revenue-Critical Deals
Serve as the technical leader in complex, high-value sales cycles, shaping the solution vision from discovery through proof-of-value and executive validation. You will partner closely with Account Executives to align technical architecture with business impact, proactively remove risk, and position Faros as the strategic choice that wins competitive deals. You are expected to anchor discussions in a broader industry context - leveraging Gartner frameworks, market narratives, and category evolution to influence executive stakeholders and differentiate Faros beyond point solutions.
Field Intelligence, Industry Insight & Market Influence
Act as the structured voice of the field by capturing recurring objections, buyer friction, and competitive dynamics, and translating them into actionable insight for Product and GTM leadership. You will synthesize frontline experience with external research (e.g., Gartner trends, AI adoption curves, DevOps and engineering intelligence market shifts) to refine positioning, improve demo strategy, and influence roadmap priorities that directly increase win rates and revenue velocity.
What We Care About
Living by our values over avoiding conflict
Transformational over predictable
Intensity over comfort
Craftsmanship over throughput
Ownership over process
Sales Engineer (NYC)
Mission 🚀
At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
About the Role
We are seeking a Sales Engineer to drive revenue and high-impact outcomes for our customers by leading the technical side of complex sales cycles. You work directly with prospects and customers - from execs to engineers - owning the technical strategy end-to-end, from discovery through solution design, proof-of-value, and deal close. You are technically credible, and deeply informed on where the market is heading for engineering intelligence, developer productivity, and AI-enabled software delivery. You contextualize Faros AI within that landscape and elevate conversations from feature comparison to strategic positioning. This is a quota-carrying role working in close partnership with Account Executives.
Responsibilities:
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Own Technical Strategy for Revenue-Critical Deals
Serve as the technical leader in complex, high-value sales cycles, shaping the solution vision from discovery through proof-of-value and executive validation. You will partner closely with Account Executives to align technical architecture with business impact, proactively remove risk, and position Faros as the strategic choice that wins competitive deals. You are expected to anchor discussions in a broader industry context - leveraging Gartner frameworks, market narratives, and category evolution to influence executive stakeholders and differentiate Faros beyond point solutions.
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Field Intelligence, Industry Insight & Market Influence
Act as the structured voice of the field by capturing recurring objections, buyer friction, and competitive dynamics, and translating them into actionable insight for Product and GTM leadership. You will synthesize frontline experience with external research (e.g., Gartner trends, AI adoption curves, DevOps and engineering intelligence market shifts) to refine positioning, improve demo strategy, and influence roadmap priorities that directly increase win rates and revenue velocity.
What We Care About
Living by our values over avoiding conflict
Transformational over predictable
Intensity over comfort
Craftsmanship over throughput
Ownership over process
Strategic Account Manager
About Faros
At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
The Role
Faros AI is looking for a Strategic Account Manager to own and grow relationships with our most important enterprise customers. This role is responsible for ensuring customer success, driving expansion opportunities, and building long-term strategic partnerships with engineering leaders and platform teams.
You will work closely with senior stakeholders at large organizations to help them realize the full value of the Faros platform while identifying opportunities to expand usage across teams and business units.
This role requires a combination of enterprise relationship management, strategic thinking, and commercial ownership.
What You’ll Do
Manage and grow relationships with Faros’ top enterprise customers
Act as the primary point of contact for strategic accounts, building trusted partnerships with engineering leadership
Drive customer adoption and ensure customers realize measurable value from the Faros platform
Identify and close expansion opportunities within existing accounts
Develop account plans to expand Faros usage across teams, departments, and business units
Partner with Customer Success, Product, and Engineering to ensure customer needs are addressed
Run executive business reviews and strategic planning sessions with customers
Track account health, renewal timelines, and growth opportunities
What We’re Looking For
5+ years in enterprise account management, customer success, or enterprise sales
Experience managing large enterprise accounts
Proven ability to drive account growth and expansion
Strong executive-level communication and relationship-building skills
Experience working with technical stakeholders such as engineering leaders or platform teams
Ability to navigate complex organizations and multiple stakeholders
Comfortable operating in a fast-moving startup environment
Bonus Points
Experience selling or managing accounts in developer tools, DevOps, or engineering productivity platforms
Experience with usage-based or platform products
Background working with engineering or technical buyers
Why Join Faros
Work with a category-defining product in developer productivity
Own relationships with leading engineering organizations
Competitive compensation + equity
Opportunity to shape how enterprise companies improve software delivery
Interested?
Reach out or apply to help shape the future of software development at Faros AI.
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