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

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.

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.

• 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.

• 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)

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

1. Living by our values over avoiding conflict - We speak honestly, act transparently, and choose the hard right over the easy wrong.

2. Transformation over predictability - We pursue work that meaningfully changes what's possible, even when the path is uncertain.

3. Intensity over comfort - We bring energy and urgency to the work, especially when it's hard.

4. Craftsmanship over throughput - We take pride in how things are built. Quality and coherence matter.

5. Ownership over process - We act like founders. If something is broken, we fix it without waiting for permission.

Required Qualifications

1. Bachelor or Master's degree in Computer Science, Engineering, or a related technical field

2. Programming fundamentals in at least one language (Python, JavaScript, etc.).

3. 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?

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:

1. 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.
   

2. 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

1. Living by our values over avoiding conflict

2. Transformational over predictable

3. Intensity over comfort

4. Craftsmanship over throughput

5. Ownership over process

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:

1. 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.

2. 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

1. Living by our values over avoiding conflict

2. Transformational over predictable

3. Intensity over comfort

4. Craftsmanship over throughput

5. Ownership over process

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.

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 is looking for a Head of Sales Development to build and lead our outbound engine. This leader will own strategy, execution, and scaling of our SDR organization with a focus on enterprise pipeline generation.

You will hire, coach, and manage SDRs responsible for prospecting into engineering leadership and platform teams at enterprise companies.

This role requires someone who can both operate strategically and get hands-on with outbound, helping build messaging, sequences, targeting strategies, and metrics that drive consistent pipeline creation.

What You’ll Do

• Build, hire, and lead a team of SDRs focused on enterprise outbound pipeline generation

• Develop and execute outbound strategies targeting engineering leadership at enterprise companies

• Design prospecting motions across email, LinkedIn, and cold calling

• Partner closely with Marketing and Sales to align on ICP, messaging, and campaign strategy

• Establish SDR metrics, dashboards, and forecasting for pipeline creation

• Coach SDRs on enterprise prospecting, discovery, and account-based outreach

• Continuously improve playbooks, sequences, and targeting strategies

• Implement best practices across sales tools, automation, and workflows

What We’re Looking For

• 5+ years in Sales Development or Outbound Sales

• 2+ years managing SDR/BDR teams

• Experience prospecting into enterprise accounts

• Proven track record of building outbound pipeline

• Experience developing outbound messaging and playbooks

• Strong coaching and SDR development skills

• Comfortable working in an early-stage, fast-moving startup environment

• Familiarity with modern sales tools

Bonus Points

• Experience selling to engineering leaders or developer tools

• Experience in SaaS startups (Series A–C)

• Experience building SDR teams from early stage
  

Why Join Faros

• Work with a category-defining product in developer productivity

• Opportunity to build and scale the outbound engine from an early stage

• Competitive compensation + equity

• Work with a team passionate about improving how engineering teams build software
  

Interested?
Reach out or apply to help shape the future of software development at Faros.

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.

As we continue to grow, we’re looking for a Sales Development Representative (SDR) to help us expand our pipeline and target strategic accounts.

What We Value

• Ownership: At Faros, we prioritize individual responsibility and ownership. We expect a “pick up the trash when you see it” mentality, and we trust you to manage your time effectively and focus on high-impact tasks. You’ll have the information and autonomy to make smart decisions about your priorities.

• Teamwork: Success at Faros is a team effort. We operate with the belief that putting the team’s interests first leads to collective success, and we encourage collaboration at every level.

• Continuous Learning: Start-ups are constantly evolving, and so are you. You’ll be expected to adapt to new scenarios, overcome challenges, and thrive in a dynamic environment that fosters professional growth.
  
  

About the Role

As a Sales Development Representative (SDR), you will work closely with our full-cycle sales team to generate new business opportunities. SDRs at Faros AI are trained and coached to excel in multithreaded prospecting, combining direct outreach, social selling, and nurture campaigns to secure qualified meetings with VP- and C-level decision-makers. You’ll receive world-class sales training, with a strong emphasis on mastering sales techniques to build a solid foundation for a career in tech go-to-market (GTM) strategies.

This is a hybrid role, requiring in-office attendance three times a week at our San Mateo, CA office. Candidates must be within commuting distance of the office.

What You’ll Need

• 1+ years of experience in a sales development role, ideally in a SaaS environment

• A strong sense of curiosity, coachability, and competitiveness

• Prior customer-facing experience

• A desire to understand the SaaS B2B DevOps and engineering space

• High emotional intelligence (EQ) and solid business acumen

• An eagerness to learn from top-performing industry leaders

• Ambition to become an expert in business process optimization

What You’ll Do

• Gain valuable SaaS sales experience by working alongside Faros AI’s experienced sales professionals

• Develop corporate selling strategies by booking meetings with VP- and C-level executives

• Deepen your understanding of the engineering and DevOps technology landscape through research and competitive selling

• Contribute to go-to-market strategies by collaborating with Faros AI partners to generate business opportunities

• Leverage leading sales tools to manage your pipeline and book of business

• Work cross-functionally with multiple teams to understand the full scope of the engineering space and our product offerings
  
  

Work Details

• Location: San Mateo, CA (Hybrid, with in-office attendance three days a week)

• Position: Full-Time

• Compensation: $90,000 On Target Earnings (OTE) annually

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

Join our AI team to build Lighthouse AI - the intelligence engine that helps engineering leaders understand organizational bottlenecks and improve performance in an age where AI is redefining the engineering craft. You'll work on natural language interfaces, causal analysis models, and ML-driven insights that impact how thousands of engineers work at companies like Autodesk, Discord, and Vimeo.

Beyond generating insights, you will help pioneer how AI agents operate safely and effectively inside complex enterprise engineering environments. This includes designing the operational context, evaluation frameworks, and feedback loops that allow agents to reason over real engineering workflows, measure the quality and impact of their actions, and continuously improve over time. You will work at the intersection of data infrastructure, AI systems, and engineering operations, helping define how humans and AI collaborate to build software together.

Responsibilities

• Collaborate with product, data, and engineering teams to define, design, and integrate AI features seamlessly into the user experience.

• Build and maintain scalable ML pipelines and infrastructure balancing speed, flexibility, security, and scalability.

• Build and optimize LLM-powered features including natural language query generation, data summarization, and data exploration tools.

• Design and implement prompt engineering strategies, evaluation frameworks, and iterate on model performance.

• Fine-tune Large Language Models (LLMs) or custom architectures for performance, latency, and cost-efficiency.

• Stay up-to-date with the latest research (e.g., papers from NeurIPS, ICML) and identify opportunities to apply state-of-the-art techniques to business problems.

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.
  
  

Required Qualifications

• 5+ years of professional experience in software engineering with a focus on Machine Learning or AI.

• Strong proficiency in Python

• Strong familiarity with libraries such as NumPy, Pandas, and Scikit-learn.

• Prompt engineering and evaluation frameworks.

• LLM/GenAI: experience hardening and productionalizing applications based on GenAI.

• Experience designing/consuming REST/GraphQL APIs and deploying applications using containerization ecosystems (Docker, Kubernetes).

• English C1: able to participate in technical calls and write clear communication.

• Degree in Computer Science, Mathematics, related field, or equivalent real-world experience.

Preferred Qualifications

• Experience with building & integrating with SaaS platforms.

• Experience with engineering analytics or developer-productivity tooling.

• Experience with development pipelines for ML and AI (e.g., MLflow, Weights & Biases, Evaluations, etc).

• Hands-on experience using coding agents (AI-assisted development).

Work Details

Our team meets in-person several days a week in San Mateo, CA.

Full-Time – $210,000–$250,000 On Target Earnings Annually.