niantic-spatial

GTM, Embodied AI

Listed by employer · Checked

Posted within 60 days ·

  • hybrid
  • FullTime
  • Go-To-Market
  • San Francisco, CA
Work arrangement
hybrid
Employment
FullTime
Stated compensation
USD 175,500–230,000 1 YEAR
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Applying from Oman

Not enough information in this posting — confirm with the employer

Checked for applicants in Oman; employer sponsorship is not needed. Based on the source posting · not a hiring or work-authorization guarantee.

The posting does not specify whether applicants from your country are accepted.

Why this result?

3 still unclear

  • The posting does not specify whether applicants from your country are accepted.
  • Office attendance is required. Relocation and work permission have not been assessed.
  • Visa sponsorship is not specified.
Source: ashbyChecked Original posting ↗

Requirements

1 with evidence8 unclear or unstated
Remote policy
hybrid
“Provider workplace type: hybrid”
From employer posting metadata
Employment type
FullTime
Compensation
USD 175,500–230,000 1 YEAR
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
Read full descriptionShow less description
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role We're looking for an entrepreneurial Go-to-Market lead to build our pipeline and customer relationships within the Embodied AI group. One of the fundamental problems we’re helping the physical AI community overcome is the sim-to-real gap for visual-spatial understanding. We’re applying our team’s decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. Working directly alongside the group's General Manager, you'll map the market, open doors, and close business in step with product development. You'll have significant independence, direct access to the people building the product, and real responsibility for making the business successful. You're a natural-born seller. A day spent talking to customers gives you energy. You already know people in the robotics ecosystem, and you're always finding reasons to meet more. You earn attention, ask questions that teach us something, and turn interest into commitment. You're as good at listening as you are at making a case. When an opportunity matters, you are relentless, but your desire to win the right business is more powerful than your desire to win any business. This is not a role for someone who needs inbound leads, a finished playbook, or a fully baked product. You relish building. You take pride in finding the use case, earning the customer's conviction, and getting the deal over the line. The role will not initially carry a sales quota. It will carry clear accountability for qualified pipeline, useful customer learning, and business we can deliver. What You'll Do Map the Market - Build and maintain a comprehensive view of prospects, their use cases, and the right contacts. Track funding, hiring, launches, and deployments, and hold a point of view on who we should pursue, why, and when. Open Doors - Build qualified pipeline through your relationships, targeted outreach, introductions, and events. Get into the communities where our customers spend time, and turn the approaches that earn attention into repeatable ones. Qualify and Learn - Get immersed in customers' workflows: what they're trying to do, what they've tried, where it breaks, and what that costs them. Establish fit, urgency, and how a buying decision will happen, and bring candid input on product-market alignment back to the General Manager and Product leader. Develop Relationships - Be useful to accounts we're not ready to serve yet. Work with Marketing on insights, introductions, content, and events, and know what needs to change in their business or our capabilities for an opportunity to become actionable. Close Business - Run opportunities through evaluation, proposal, negotiation, and signature. Agree what an evaluation must prove, who will decide, and what follows success. Prepare colleagues properly and stay engaged through handoff so commitments are delivered. Shape the Commercial Model - Help design commercial models for a maturing product, finding simple solutions where the path isn't laid out, and bringing discipline to how early deals are structured. What You'll Bring Relationships that open doors. You already know founders, engineering leaders, or buyers in robotics, embodied AI, or the infrastructure and tooling companies serving them, and you have a track record of building new relationships beyond your existing network. Experience personally winning early customers for a technical product. You sourced opportunities and closed business while the use case, buyer, or commercial approach was still being worked out, and you can explain what you did to make it happen. Experience shaping the deal itself. You've worked with founders or technical teams to turn a customer problem into a concrete offer covering scope, proof of value, commercial terms, and a path from evaluation to paid adoption, and you've secured commitments of budget and engineering time. Evidence that you changed the approach because of what you learned. You can point to customer evidence that changed who your team targeted, what it offered, or how it sold, and explain what happened next. Credibility with technical buyers. You've sold to engineering or research teams and can hold a substantive conversation about their workflows, including the roles of simulation, training data, and evaluation in embodied AI, and concepts such as reinforcement learning, imitation learning, and sim-to-real transfer. A bachelor's degree in a relevant field, or equivalent experience. Nice to Have You've turned initial pilots into sustained usage, renewals, or expansion. You've helped turn a handful of early wins into a repeatable approach across customers. You've partnered with or sold within the NVIDIA robotics ecosystem. You've sold into defense or industrial robotics teams. Competencies Painful sense of urgency. You move as if the company's success depends on it, because it does. People love working with you because you make things happen. Strategically tenacious. You combine astute judgment about which opportunities matter with dogged determination to win them. When one door shuts on a great opportunity, you make sure another one opens. Technically fluent. You speak the language of our customers, and know what the words mean. You get curious when a conversation gets technical, can explain our capabilities accurately, and recognize when a technical counterpart needs to take over. Intellectually honest. You know there's one job that underpins every other in a startup: find the truth. You listen closely, ask about actual behavior, and investigate answers that don't add up. You don't mistake compliments for demand or keep a dead opportunity alive to make the pipeline look better. Pragmatic in the face of ambiguity. You have a knack for finding simple solutions to complex problems when the path isn't laid out for you. You're not intimidated by designing commercial models or helping to mature a product. Ability to close. You build champions, reach decision-makers, and methodically uncover what stands between interest and a purchase. You're a natural negotiator and enjoy delivering win-win outcomes. Create value before you consume. You're generous with insights, thoughtful introductions, and practical help, always giving before asking for anything in return. When you ask for a customer's time or budget, you can explain what they stand to gain and hold us to delivering it. Compensation & Benefits Base salary range of $175,500 to $230,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application 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. Equal Opportunity 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. Candidate Privacy 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.
Original formatting and links

About Niantic Spatial

AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.

That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.

In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.

Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.

About the Role

We're looking for an entrepreneurial Go-to-Market lead to build our pipeline and customer relationships within the Embodied AI group. One of the fundamental problems we’re helping the physical AI community overcome is the sim-to-real gap for visual-spatial understanding. We’re applying our team’s decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.

Working directly alongside the group's General Manager, you'll map the market, open doors, and close business in step with product development. You'll have significant independence, direct access to the people building the product, and real responsibility for making the business successful.

You're a natural-born seller. A day spent talking to customers gives you energy. You already know people in the robotics ecosystem, and you're always finding reasons to meet more. You earn attention, ask questions that teach us something, and turn interest into commitment. You're as good at listening as you are at making a case. When an opportunity matters, you are relentless, but your desire to win the right business is more powerful than your desire to win any business.

This is not a role for someone who needs inbound leads, a finished playbook, or a fully baked product. You relish building. You take pride in finding the use case, earning the customer's conviction, and getting the deal over the line. The role will not initially carry a sales quota. It will carry clear accountability for qualified pipeline, useful customer learning, and business we can deliver.

What You'll Do

  • Map the Market - Build and maintain a comprehensive view of prospects, their use cases, and the right contacts. Track funding, hiring, launches, and deployments, and hold a point of view on who we should pursue, why, and when.

  • Open Doors - Build qualified pipeline through your relationships, targeted outreach, introductions, and events. Get into the communities where our customers spend time, and turn the approaches that earn attention into repeatable ones.

  • Qualify and Learn - Get immersed in customers' workflows: what they're trying to do, what they've tried, where it breaks, and what that costs them. Establish fit, urgency, and how a buying decision will happen, and bring candid input on product-market alignment back to the General Manager and Product leader.

  • Develop Relationships - Be useful to accounts we're not ready to serve yet. Work with Marketing on insights, introductions, content, and events, and know what needs to change in their business or our capabilities for an opportunity to become actionable.

  • Close Business - Run opportunities through evaluation, proposal, negotiation, and signature. Agree what an evaluation must prove, who will decide, and what follows success. Prepare colleagues properly and stay engaged through handoff so commitments are delivered.

  • Shape the Commercial Model - Help design commercial models for a maturing product, finding simple solutions where the path isn't laid out, and bringing discipline to how early deals are structured.

What You'll Bring

  • Relationships that open doors. You already know founders, engineering leaders, or buyers in robotics, embodied AI, or the infrastructure and tooling companies serving them, and you have a track record of building new relationships beyond your existing network.

  • Experience personally winning early customers for a technical product. You sourced opportunities and closed business while the use case, buyer, or commercial approach was still being worked out, and you can explain what you did to make it happen.

  • Experience shaping the deal itself. You've worked with founders or technical teams to turn a customer problem into a concrete offer covering scope, proof of value, commercial terms, and a path from evaluation to paid adoption, and you've secured commitments of budget and engineering time.

  • Evidence that you changed the approach because of what you learned. You can point to customer evidence that changed who your team targeted, what it offered, or how it sold, and explain what happened next.

  • Credibility with technical buyers. You've sold to engineering or research teams and can hold a substantive conversation about their workflows, including the roles of simulation, training data, and evaluation in embodied AI, and concepts such as reinforcement learning, imitation learning, and sim-to-real transfer.

  • A bachelor's degree in a relevant field, or equivalent experience.

Nice to Have

  • You've turned initial pilots into sustained usage, renewals, or expansion.

  • You've helped turn a handful of early wins into a repeatable approach across customers.

  • You've partnered with or sold within the NVIDIA robotics ecosystem.

  • You've sold into defense or industrial robotics teams.

Competencies

  • Painful sense of urgency. You move as if the company's success depends on it, because it does. People love working with you because you make things happen.

  • Strategically tenacious. You combine astute judgment about which opportunities matter with dogged determination to win them. When one door shuts on a great opportunity, you make sure another one opens.

  • Technically fluent. You speak the language of our customers, and know what the words mean. You get curious when a conversation gets technical, can explain our capabilities accurately, and recognize when a technical counterpart needs to take over.

  • Intellectually honest. You know there's one job that underpins every other in a startup: find the truth. You listen closely, ask about actual behavior, and investigate answers that don't add up. You don't mistake compliments for demand or keep a dead opportunity alive to make the pipeline look better.

  • Pragmatic in the face of ambiguity. You have a knack for finding simple solutions to complex problems when the path isn't laid out for you. You're not intimidated by designing commercial models or helping to mature a product.

  • Ability to close. You build champions, reach decision-makers, and methodically uncover what stands between interest and a purchase. You're a natural negotiator and enjoy delivering win-win outcomes.

  • Create value before you consume. You're generous with insights, thoughtful introductions, and practical help, always giving before asking for anything in return. When you ask for a customer's time or budget, you can explain what they stand to gain and hold us to delivering it.

Compensation & Benefits

Base salary range of $175,500 to $230,000. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.

Location & Work Model

This role is based in our San Francisco office, with three days per week in office.

Inclusive Application

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.

Equal Opportunity

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.

Candidate Privacy

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.

No similar roles found yet — browse all niantic-spatial jobs.

Explore stated remote geography

These collections reflect applicant location statements, not authorization or citizenship.

THE JOB ELIGIBILITY CHECKER

Check a job