Niantic Spatial, Inc.

Business Development Rep

• Build and scale Niantic Spatial's partner ecosystem across the Department of Defense, Intelligence Community, and Federal Civilian agencies.
• Conduct in-depth research to identify mission priorities, customer segments, and partner ecosystems.
• Identify, negotiate, and close high-value opportunities for spatial intelligence and physical AI technologies.
• Establish and grow strategic partnerships to expand Niantic Spatial's reach in government markets.
• Own partner-sourced and partner-led revenue opportunities from qualification through negotiation and close.
• Develop and execute joint go-to-market strategies with partners that generate measurable pipeline.
• Gather structured feedback from customers and partners to influence product decisions.
• Represent Niantic Spatial at industry events to build brand visibility.

Business Development Leader – Public Sector

Researcher

• Architect Semantic Grounding: Lead research into cross-modal grounding that connects 3D spatial features with language embeddings, enabling the LGM to "understand" object relationships and environmental context.
• Scale "Understand" Capabilities: Develop and deploy algorithms for continuous semantics, allowing our 3D maps to evolve and improve their situational awareness as new ground-level and aerial data is ingested.
• Agentic Frameworks: Build the "spatial brain" for Embodied AI, enabling robots, Drones and other Machines to move beyond simple navigation to mission-level reasoning.
• Multimodal Benchmarking: Define the standards for measuring "spatial common sense" in LLMs, creating evaluations that test a model’s ability to interpret and operate within complex 3D scenes.
• Technical Mentorship: Serve as the technical anchor for the London R&D hub, resolving architectural disagreements and mentoring the next generation of researchers in the fusion of 3D CV and NLP.
• Collaborative Innovation: Partner with Product leads to ensure the "Understand" API delivers high business value for enterprise customers in robotics, logistics, and field operations.

Computer Vision Researcher – VLM

Financial Planning and Analysis

• Build and maintain annual, quarterly, and rolling forecasts
• Prepare monthly and quarterly reporting packs, dashboards, and management reports
• Drive the preparation of Board and leadership materials
• Own the FP&A side of the monthly close
• Run planning meetings and review sessions with clear agendas
• Lead day-to-day FP&A operating cadence

Finance Manager

Solutions Engineer

• Own technical engagement and success for assigned federal accounts and programs, from discovery through operational implementation and transition.
• Design end-to-end solution architectures (logical and physical) covering deployment, scaling, reliability, security, and accreditation for federal and classified environments.
• Lead technical workshops to capture mission objectives, requirements, and success criteria, and translate them into implementation-ready designs tied to measurable mission outcomes.
• Advise on architectural tradeoffs across cloud, hybrid, on-prem, tactical edge, and air-gapped/classified deployments, and deliver compelling capability demos for customers and at conferences and symposiums.
• Engage early in the capture lifecycle to shape technical requirements and position Niantic Spatial capabilities ahead of formal RFI/RFP release.
• Serve as primary technical author for RFIs, RFPs, CSOs, OTAs, and SBIR/STTR responses, coordinating across engineering and product to shape compliant, compelling architectures and customer narratives.
• Lead technical proposal content — solution approach, architecture, integration plan, security posture, risk/mitigation, accreditation, and compliance matrices, including rapid phased approaches.
• Partner with Capture/BD on technical win themes, differentiators, diagrams, competitive positioning, and effort assumptions grounded in repeatable delivery models.
• Ensure solutions integrate into customer environments — identity and access management, cross-domain solutions, data platforms, GIS/geo services, enterprise integration patterns, observability, and device constraints.
• Define integration patterns, APIs, and data flows; document operational runbooks, deployment/upgrade approaches, and sustainment models suited to federal operational environments.
• Account for cybersecurity and compliance requirements (e.g., RMF packages, ATO processes, DoD Cloud Computing SRG IL2/4/6, and TS-aligned environments) in architectural designs.
• Communicate customer needs, gaps, and requirements to Product Management and Engineering, influencing roadmap and prioritization with evidence from engagements and proposals.
• Translate recurring requirements and deployment patterns into reusable baselines, highlighting opportunities for productization that accelerate capture and delivery.
• Collaborate with delivery teams and partners to ensure architectures are implemented as designed; support escalations, tuning, accreditation, and post-launch adoption.
• Ensure solutions transition from pilot/prototype into sustained operational use, with clear documentation, ownership, and explicit boundaries between productized platform and bespoke services work.
• Maintain a set of repeatable demos optimized for DoW/IC/Civilian prospects; use demo feedback to inform proposals and the product roadmap.

Solutions Architect – Public Sector

• Own the technical relationship and technical success for assigned commercial and strategic accounts from discovery through implementation, with priority focus on Energy customers leveraging Intelligent Field Operations and Semantics.
• Design end-to-end solution architectures (logical and physical) covering deployment, scaling, reliability, safety, and security across cloud, edge, and device environments.
• Lead technical workshops to capture operational objectives, requirements, and success criteria, and translate them into implementation-ready designs tailored to field environments.
• Provide technical inputs to customer proposals, pilots, statements of work (SOWs), and commercial agreements.
• Lead technical solution documentation — architecture diagrams, integration approaches, deployment models, security considerations, and implementation plans.
• Partner with Sales/BD on technical differentiators, value narratives, demonstrations, and scoping assumptions aligned to customer ROI and operational impact.
• Ensure solutions integrate into customer environments — identity systems, data platforms, GIS/geo services, robotics stacks, enterprise integration patterns, observability, and device constraints.
• Define integration patterns, APIs, and data flows across cloud, edge, and on-device systems; document operational runbooks and deployment/upgrade strategies suited to distributed field operations.
• Communicate customer needs, gaps, and technical requirements to Product Management and Engineering, influencing roadmap and prioritization with structured feedback from engagements, pilots, and deployments.
• Collaborate with delivery teams and partners to ensure architectures are implemented as designed; support escalations, performance optimization, field validation, and post-launch adoption.
• Support pilots and early deployments, ensuring measurable operational outcomes and scalable production transitions.
• Maintain a set of repeatable demos for commercial prospects; use demo feedback to inform proposals and the product roadmap.

Solutions Architect – Enterprise

Engineer

• Conduct original research in computer vision, machine learning, and spatial AI.
• Design, implement, and evaluate novel algorithms for:
• 3D reconstruction
• Neural scene representations
• 3D Gaussian Splatting
• Geometric deep learning
• Structure-from-Motion (SfM)
• Feed-forward models
• Spatial foundation models
• Collaborate with research scientists and engineers to transition promising ideas into future products.
• Develop large-scale experiments and benchmarking frameworks.
• Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers.
• Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.

Computer Vision Research Engineer

Recruitment

• Own full-cycle recruiting for technical and non-technical roles, from intake through offer acceptance.
• Partner with hiring managers and leaders to define hiring strategies, candidate profiles, and interview processes.
• Build and execute sourcing strategies — direct outreach, referrals, networking, and recruiting platforms — to reach high-caliber candidates.
• Develop strong pipelines across software engineering, machine learning, AI research, product, sales, marketing, operations, finance, and people functions.
• Run recruiter screens that assess candidates’ qualifications, motivations, and alignment with our culture and values.
• Drive an efficient interview process and a positive candidate experience end to end.
• Advise hiring managers on market trends, compensation benchmarks, and hiring best practices.
• Manage offers and negotiations through to close, and keep candidate records and recruiting metrics current in our ATS.
• Champion fair, inclusive hiring practices and identify ways to improve recruiting operations, workflows, and employer brand.

Senior Recruiter, Contract

Product Specialist

• Partner with Product, Engineering, Research, and Go-to-Market teams to develop and deliver high-fidelity reconstruction Proof of Concepts (PoCs) for lighthouse enterprise customers.
• Be the point-person for engaging with enterprise customers, interpreting requirements, capturing necessary data, and presenting solutions and results to stakeholders.
• Drive continuous improvements to Niantic Spatial’s 3D reconstruction offering, with a focus on Gaussian splatting, meshing, and hybrid neural representations.
• Systematically evaluate reconstruction quality across diverse capture modalities, including smartphones, 360 cameras, drones, and LiDAR.
• Define, track, and optimize quality metrics for 3D reconstruction outputs; establish rigorous benchmarks that guide internal research and product engineering priorities.
• Stay embedded in the fast-moving 3D reconstruction landscape, keeping up with advancements across the industry to advocate for internal product developments.