United States onlyAbout Us:
Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). Put simply, we build software for the people who enable trust between businesses.
We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity — in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.
As an early stage start-up employee, you’ll have the opportunity to build out the future of business trust. We make audit practitioners’ lives easier by eliminating up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide.
About the Role
As a Machine Learning Engineering Manager at Fieldguide, you will combine your expertise in ML and generative AI with strong people leadership to drive our most critical AI initiatives. You’ll directly manage a team of ~5 machine learning engineers working across multiple product teams, guiding them in delivering first-of-their-kind ML features for the audit and advisory industry. Reporting to the Head of Engineering, you will collaborate with product and design leaders to shape our AI roadmap and ensure the team’s work aligns with Fieldguide’s business objectives. You are responsible for your team’s delivery, technical quality, and long-term scalability of our AI systems. This is a unique opportunity to build and scale a high-impact ML team at a rapidly scaling Series B-stage startup, while fostering an environment that reflects Fieldguide’s values and remote-first culture.
What You’ll Do
Lead and mentor the ML team: Manage a team of ~5 Machine Learning Engineers, providing coaching, mentorship, and support. Foster an inclusive, psychologically safe team culture that enables growth and high performance.
Deliver AI-powered features: Oversee the end-to-end delivery of ML-driven product features (especially NLP and generative AI solutions) across multiple teams. Ensure projects are executed with high quality, reliability, and on schedule.
Strategic collaboration: Work closely with Product Managers, Designers, and the Head of Engineering to plan roadmaps, define our AI strategy, and integrate ML capabilities into the product. Align the team’s efforts with company goals and customer needs through cross-functional collaboration.
Technical guidance: Provide technical direction in ML architecture and design decisions. Guide the team on best practices for building generative AI systems, including effective prompt engineering techniques and robust solution design (while empowering individual engineers to own implementations).
Quality and evaluation: Establish and champion frameworks for evaluating model performance and accuracy. Ensure our generative AI models and features are rigorously tested, monitored, and continually improved based on clear metrics and user feedback.
Hiring and team growth: Participate in hiring loops to attract and onboard top ML engineering talent. Set clear expectations for team members, and help scale the team by refining our hiring, interview, and onboarding processes.
Talent development: Own the career development and performance management process for your team. Conduct regular 1:1s and performance reviews, deliver actionable feedback, and create growth plans that advance each engineer’s skills and career path.
Continuous improvement: Refine team processes and workflows for efficiency and quality (e.g. code reviews, research spikes, deployment practices). Advocate for resources or process changes needed for the ML team to excel, and ensure the team’s work remains innovative, impactful, and aligned with Fieldguide’s high standards.
If you’re excited about the mission and have strong adjacent experience, we’d still love to hear from you, even if you don’t meet 100% of the criteria above.
Who You Are
Leadership and ML expertise: 8+ years of experience in applied machine learning (or related field), including at least 2+ years in a tech lead or people manager role. Proven ability to lead and develop engineering talent in a fast-paced environment.
Generative AI & NLP skills: Deep understanding of modern NLP, large language models (LLMs), and generative AI systems. Hands-on experience with prompt engineering for LLMs and developing evaluation frameworks to measure and improve model performance and quality.
Strong technical foundation: Proficiency in Python and ML libraries/frameworks, with a track record of building, deploying, and scaling ML solutions in production. Solid grasp of data engineering (ETL pipelines, data quality) and MLOps best practices for model deployment and monitoring.
People management excellence: Demonstrated ability to mentor, coach, and manage engineers effectively. Experience conducting performance reviews, providing constructive feedback, and guiding career growth for a technical team.
Exceptional communication: Excellent collaboration and communication skills. Comfortable working cross-functionally with product managers, designers, and other stakeholders to translate business needs into ML solutions and to clearly communicate complex concepts to non-engineers.
Strategic and analytical mindset: Adept at thinking big-picture about AI strategy while also able to dive into details. Strong problem-solving skills and decision-making judgment, especially in balancing quick wins vs. long-term research investments.
Culture and values alignment: Passion for building an inclusive, high-performing team culture. Embody Fieldguide’s values (Fearless, Fast, Lovable, Owners, Win-Win, Inclusive) in your leadership style, and excited to help shape a remote-first, mission-driven team.
More about Fieldguide:
Fieldguide is a values-based company. Our values are:
Fearless - Inspire & break down seemingly impossible walls.
Fast - Launch fast with excellence, iterate to perfection.
Lovable - Deliver happiness & 11 star experiences.
Owners - Execute & run the business with ownership.
Win-win - Create mutual value & earn trust for life.
Inclusive - Scale the best ideas with inclusive teams.
Some of our benefits include:
Competitive compensation packages with meaningful ownership
Flexible PTO
401k
Wellness benefits, including a bundle of free therapy sessions
Technology & Work from Home reimbursement
Flexible work schedules
