San Francisco, California, United States · Hybrid
$158k–$210k/yr
About Niantic Spatial At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of inte…
Skills: Financial Modeling, FP&A, Budgeting, Forecasting, Variance Analysis
San Francisco, California, United States · Remote OK
$171k–$215k/yr
About Niantic Spatial At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of inte…
Skills: Solutions Architecture, Systems Engineering, Technical Pre-sales, Cloud Architecture, Hybrid Deployment
San Francisco, California, United States · Hybrid
$171k–$215k/yr
About Niantic Spatial At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of inte…
Skills: Solutions Architecture, Cloud Computing, Edge Computing, Enterprise Integration, API Design
San Francisco, California, United States · Hybrid
$80/hr–$100/hr
About Niantic Spatial At Niantic Spatial, we build real-world foundational models for physical AI so people and machines can work together safely and efficiently. We give robots, AI agents, and people an accurate, shared…
Skills: Full-cycle Recruiting, Technical Sourcing, Stakeholder Management, Candidate Experience, Offer Negotiation
San Francisco, California, United States · Hybrid
$170k–$190k/yr
Senior Product Specialist (3D Reconstruction) At Niantic Spatial, we build real-world foundational models for physical AI, so people and machines can work efficiently and safely together. We give robots, AI agents, and p…
Skills: 3D Reconstruction, Photogrammetry, Gaussian Splatting, NeRFs, SfM
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The Finance Manager will own the company's planning and reporting cadence, managing budgeting, forecasting, and monthly close support. They will partner with cross-functional leaders to translate financial data into actionable business decisions and prepare materials for the Board and executive leadership.
Requires 8+ years of experience in FP&A, corporate finance, or consulting, preferably within a high-growth startup. Candidates must possess advanced financial modeling skills and the ability to independently manage end-to-end planning processes.
At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment.
Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics, the public sector, and energy and industrial markets — building for the 80% of economic activity that takes place beyond our screens.
As Finance Manager, you will be Niantic Spatial's dedicated FP&A function — the primary owner of the company's planning and reporting cadence, working in close partnership with the Head of Finance. You'll partner with leaders across Product, Engineering, GTM, People, Operations, Legal, and Accounting to turn financial data into clear decisions while building structure where processes are still evolving. This is a role for a seasoned finance professional who wants real ownership: the models, the process, the operating rhythm, and the relationships across the business are yours to run and improve.
· Budgeting & Forecasting — Build and maintain annual, quarterly, and rolling forecasts; own bottoms-up and top-down planning models covering headcount, operating expenses, cash burn, runway, and revenue; build planning calendars backward from close, forecast, and Board milestones.
· Reporting & Insights — Prepare monthly and quarterly reporting packs, dashboards, and management reports; create budget-versus-actual, variance, bridge, and scenario analyses; build and maintain department, product, entity, and consolidated P&Ls; go beyond the numbers to deliver insights that explain what changed, why it matters, and what leadership should do about it.
· Board & Executive Materials — Drive the preparation of Board and leadership materials on a defined timeline — coordinating inputs, drafting exhibits, and ensuring materials are complete and decision-useful — in partnership with the Head of Finance.
· Close Support — Own the FP&A side of the monthly close, including budget-versus-actual review, variance commentary, and follow-up on forecast-to-actual gaps; partner with Accounting and external providers on management, statutory, and GAAP reporting needs.
· Cross-Functional Partnership — Run planning meetings and review sessions with clear agendas, timelines, and accountability; translate financial implications for non-finance stakeholders; collaborate with Product Managers and the GTM team on sales proposal costing and pricing decisions; handle ad hoc analyses and special projects for leadership.
· Process & Systems Improvement — Lead the day-to-day FP&A operating cadence; maintain and improve the planning system and reporting workflows; help the company move from manual, spreadsheet-heavy processes toward more scalable planning and reporting.
· 8+ years in FP&A, corporate finance, investment banking, consulting, or a related finance role, ideally in a high-growth startup or lean finance team; Bachelor's degree in Finance, Accounting, Economics, or equivalent experience.
· Deep financial modeling and analytical skills, with strong financial statement fluency and advanced Excel and Google Sheets ability — able to turn analysis into clear insights and recommendations, not just outputs.
· Proven ability to independently own end-to-end planning and reporting: annual plans, quarterly re-forecasts, budget-versus-actual reviews, and monthly close support.
· Track record of building auditable, formula-driven models with clear structure, documented assumptions, and built-in checks.
· Experience preparing Board- and executive-ready materials on a recurring schedule, with strong attention to detail and follow-through.
· Tech-forward and actively using AI tools to accelerate modeling, automate analysis, and improve finance deliverables — with the judgment to know where AI helps and where human judgment is essential.
· Strong communicator who can run planning meetings, manage timelines, hold stakeholders accountable, and explain finance clearly to non-finance teams.
· Self-directed and calm under pressure; builds structure in ambiguous environments and keeps work moving without heavy oversight.
· Experience with FP&A planning systems such as Abacum, Adaptive, or Anaplan.
· Familiarity with NetSuite.
· Working knowledge of cloud hosting cost structures (GCP, AWS, Azure) and experience forecasting infrastructure spend.
The expected salary range for this role is $157,500 –$210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
This role is based in our San Francisco, CA office. We operate on a hybrid schedule with a minimum of 3 days per week in office.
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
We build real-world foundation models that unlock physical AI for a more productive and resilient world.
First, our founders brought digital mapping to the world. Next, we invented global-scale AR. Now we're building the real-world foundation model for people, AI and robots. We're building for the 80% of economic activity that takes place beyond our screens: robots that lose GPS and drift off course, defense teams with no shared 3D picture of where they operate, facilities where downtime costs millions. Unlike LLMs, which understand language, we build computer-vision models that understand physical space. And unlike generated environments, our models are geometrically accurate and have real-world coordinates - which is what makes physical AI precise and trustworthy. We work across three capabilities for our customers: reconstructing physical spaces as AI-native digital twins using cheap, off-the-shelf cameras; locating and orienting – “localizing” – machines and people within those spaces; and enabling AI to understand and answer questions about the real world.
We build real-world foundation models that unlock physical AI for a more productive and resilient world.
First, our founders brought digital mapping to the world. Next, we invented global-scale AR. Now we're building the real-world foundation model for people, AI and robots. We're building for the 80% of economic activity that takes place beyond our screens: robots that lose GPS and drift off course, defense teams with no shared 3D picture of where they operate, facilities where downtime costs millions. Unlike LLMs, which understand language, we build computer-vision models that understand physical space. And unlike generated environments, our models are geometrically accurate and have real-world coordinates - which is what makes physical AI precise and trustworthy. We work across three capabilities for our customers: reconstructing physical spaces as AI-native digital twins using cheap, off-the-shelf cameras; locating and orienting – “localizing” – machines and people within those spaces; and enabling AI to understand and answer questions about the real world.
