Fieldguide

Manager, Machine Learning Engineering

Senior Director, FP&A

Manager, Sales

Value Engineer

Head of Design

Strategic Account Executive

Enterprise Account Executive

RevOps Systems Manager

Fieldguide is an automation and collaboration platform for modern assurance and advisory firms. As a Machine Learning Engineering Manager, you will lead a team of ~5 ML engineers, driving critical AI initiatives, especially in NLP and generative AI. You will oversee end-to-end delivery of ML features, provide technical guidance, and collaborate with product and design leaders to shape the AI roadmap. This role focuses on team delivery, technical quality, and scalability of AI systems, fostering a high-impact ML team in a remote-first environment.

About Fieldguide‍Fieldguide is an automation and collaboration platform for modern assurance and advisory firms that digitizes the end-to-end engagement workflow on a single platform. Built by former Big Four practitioners and experienced technology leaders, Fieldguide is trusted by top CPA firms to improve margins, win new business, and build stronger client relationships. 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, Y Combinator, Floodgate, Elad Gil, Justin Kan, Qasar Younis, Eric Ries, and more.About the role<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Us:</h2>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.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the Role</h2>As a Machine Learning Engineering Manager, 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.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">What You’ll Do</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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).</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li></ul>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.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Who You Are</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li><li class="leading-relaxed">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.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">More about Fieldguide:</h2>Fieldguide is a values-based company. Our values are:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Fearless - Inspire & break down seemingly impossible walls.</li><li class="leading-relaxed">Fast - Launch fast with excellence, iterate to perfection.</li><li class="leading-relaxed">Lovable - Deliver happiness & 11 star experiences.</li><li class="leading-relaxed">Owners - Execute & run the business with ownership.</li><li class="leading-relaxed">Win-win - Create mutual value & earn trust for life.</li><li class="leading-relaxed">Inclusive - Scale the best ideas with inclusive teams.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Some of our benefits include:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Competitive compensation packages with meaningful ownership</li><li class="leading-relaxed">Flexible PTO</li><li class="leading-relaxed">401k</li><li class="leading-relaxed">Wellness benefits, including a bundle of free therapy sessions</li><li class="leading-relaxed">Technology & Work from Home reimbursement</li><li class="leading-relaxed">Flexible work schedules</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Technology</h2>We're looking for early-stage engineers with experience in the following:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Complex web tech stacks consisting of several of the following: JavaScript/TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and/or AWS</li><li class="leading-relaxed">Architecting large features and determining the best technologies for the job</li><li class="leading-relaxed">Test and automation tools like Jest and Cypress</li><li class="leading-relaxed">DevOps and continuous integration/delivery best practices</li><li class="leading-relaxed">Information security best practices</li><li class="leading-relaxed">Collaborating on all aspects of product strategy and UX</li><li class="leading-relaxed">Working directly with customers and fixing bugs</li><li class="leading-relaxed">Shaping a young tech stack, product, and engineering processes</li></ul>We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. This is an opportunity to be an early engineer at a young, fast growing startup, working directly with the company’s co-founders and early employees. We offer competitive compensation and perks.We greatly value learning and invest in our team members. As we build the company together, we’ll map your professional interests and goals to ensure you’re learning not only how to be a better engineer, but also growing towards your ideal role in the future.Fieldguide is committed to building a diverse and inclusive company that celebrates individuals of all backgrounds. We’re an equal opportunity employer and encourage all applicants.

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Sony Pictures Entertainment

Vice President, People Systems & Technology

Senior Counsel, Employment

Mgr Business Intelligence - App Development

Administrative Assistant IV, Creative Production

fluence

Senior Operations Financial Analyst

Leapwork

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Data Analyst

Data Governance lead

Workato

Senior Solutions Architect

The Vice President, People Systems and Technology leads enterprise-wide HR technology initiatives for Sony Pictures Entertainment's global workforce. This role oversees all systems across the people lifecycle, including HRIS, Payroll (North America), Learning and Development, and Employee Relations, managing integrations between Workday and over 90 downstream applications. The leader partners with P&O, Finance, Legal, IT, and Information Security to drive operational excellence, workforce data reliability, and digital enablement, ensuring alignment of business requirements and technology roadmaps.

Hi, we’re Sony Pictures EntertainmentWe are in the business of creativity … making some of the most beloved film and television of all time for every platform in the world. As the most creative and proudly independent studio, our future is boundless.Sony Pictures Entertainment is a division of Sony Corporation, a creative entertainment company built on a foundation of technology. Along with our sister companies, we make movies, television, music and games that engage billions of people, connecting creators and audiences around the globe.We are looking for innovators to join us as we forge the future of entertainment!

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Role Overview</h2>The Vice President, People Systems and Technology leads enterprise-wide HR technology initiatives supporting our global workforce, including employees and contingent workers. This role oversees all systems across the people lifecycle, covering HRIS, Payroll (for North America), Learning and Development, Employee Relations as well as others. It is also accountable for managing integrations between Workday and 90+ downstream applications, ensuring secure, accurate and efficient data flow enterprise-wide.This leader will partner closely with People & Organization (HR), Finance, Legal, IT and Information Security to focus on creating value through the use of technology by ensuring alignment of business requirements, system integrity and technology roadmaps. Acting as the primary IT business partner and technology advisor to People & Organization and Payroll leadership, the Vice President will drive operational excellence, workforce data reliability and digital enablement across the studio.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Key Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Develop and execute a multi-year strategy and roadmap for People Systems and Technology, including Workday, UKG Payroll, Cornerstone LMS and ServiceNow HRSD</li><li class="leading-relaxed">Provide strategic and technical oversight of Payroll systems (North America), ensuring accuracy and compliance for union and non-union employees</li><li class="leading-relaxed">Partner with P&O, Payroll and Finance to optimize processes, integrations and reporting across HRIS and Payroll platforms</li><li class="leading-relaxed">Oversee integrations between Workday and 90+ enterprise systems, ensuring accurate, secure and timely data exchange</li><li class="leading-relaxed">Ensure timely delivery of business priorities, balancing strategic goals and business value with operational requirements</li><li class="leading-relaxed">Collaborate with Information Security, IT Infrastructure and Architecture to ensure security, scalability and integration consistency</li><li class="leading-relaxed">Drive innovation and continuous improvement in HR technology to enhance workforce experience and efficiency</li><li class="leading-relaxed">Lead, mentor and develop a high-performing team</li><li class="leading-relaxed">Manage team resources and vendor relationships and evaluate SaaS solutions to drive innovation and continuous improvement in the delivery of performance outcomes, reliability and overall business value</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Experience & Qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">At least 12 years of experience in IT or related technical profession, 8+ years managing a team</li><li class="leading-relaxed">At least 5 years of experience with Workday HCM</li><li class="leading-relaxed">At least 5 years of experience with enterprise payroll systems such as Workday Payroll, UKG, Dayforce, ADP or SAP</li><li class="leading-relaxed">Experience with an LMS and HR case management system, such as Cornerstone and ServiceNow HRSD</li><li class="leading-relaxed">Preferred experience supporting payroll for a union population; familiarity with union payroll requirements and collective bargaining agreements</li><li class="leading-relaxed">Proven success in enterprise system implementation, governance and continuous improvement</li><li class="leading-relaxed">Strong background in managing within a software development life cycle</li><li class="leading-relaxed">Demonstrated ability to partner with senior business leaders and influence technology strategy</li><li class="leading-relaxed">Strong vendor management and outsourced service delivery experience</li><li class="leading-relaxed">Excellent communication and stakeholder management skills</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s degree required.</li><li class="leading-relaxed">Degree in Computer Science, Information Technology, Human Resources, or related field preferred.</li></ul>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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