Business Development Manager, Enterprise (Robotics Data)
Location
San Francisco
Type
Full Time
Department
Operations
Overview
Bachelor’s degree or higher from a top-tier university
Proven BD experience (4 + years) within high-growth SV ecosystems, preferably within AI, SaaS, or high-growth tech.
A proven track record of closing high-stakes, large-scale enterprise deals.
What You’ll Do
Drive Full-Cycle Sales: Identify, qualify, and close high-value partnerships with enterprise robotics firms and autonomous vehicle labs.
Problem Solve: Take on difficult, ambiguous customer requirements and translate them into structured data labeling and collection solutions.
Build High-Trust Relationships: Partner with Heads of AI and Engineering Directors to influence their long-term data strategy.
Operate Autonomously: Have full ownership of your pipeline and outcomes. We support our team, but you will have broad latitude to run as you get up to speed.
Collaborate Cross-Functionally: Partner with our Product and Engineering teams to ensure the feedback from the field is baked into the PrismaX roadmap.
You Might Be a Fit If You…
The "Athlete" Mindset: The ability to run on your own in a rapidly changing industry during a period of hypergrowth.
Technical Depth: A penchant for digging into the data yourself, thinking from first principles, and understanding the nuances of how training data distribution affects model performance, how to balance data quantity and yield with client budgets and timelines, and how to work with clients to distill researchers’ requirements into effective, realistic data collection scenarios. Additionally, at least a superficial technical familiarity with modern foundation model architectures and the underlying statistical principles are a huge plus!________
Outcome Orientation: A history of being scrappy when it counts and flexibility of accepting an deliverable based salary
Bonus Points
The "Athlete" Mindset: The ability to run on your own in a rapidly changing industry during a period of hypergrowth.
Technical Depth: A penchant for digging into the data yourself, thinking from first principles, and understanding the nuances of how training data distribution affects model performance, how to balance data quantity and yield with client budgets and timelines, and how to work with clients to distill researchers’ requirements into effective, realistic data collection scenarios. Additionally, at least a superficial technical familiarity with modern foundation model architectures and the underlying statistical principles are a huge plus!________
Outcome Orientation: A history of being scrappy when it counts and flexibility of accepting an deliverable based salary
Business Development Manager, Enterprise (Robotics Data)
Location
San Francisco
Type
Full Time
Department
Operations
Overview
Bachelor’s degree or higher from a top-tier university
Proven BD experience (4 + years) within high-growth SV ecosystems, preferably within AI, SaaS, or high-growth tech.
A proven track record of closing high-stakes, large-scale enterprise deals.
What You’ll Do
Drive Full-Cycle Sales: Identify, qualify, and close high-value partnerships with enterprise robotics firms and autonomous vehicle labs.
Problem Solve: Take on difficult, ambiguous customer requirements and translate them into structured data labeling and collection solutions.
Build High-Trust Relationships: Partner with Heads of AI and Engineering Directors to influence their long-term data strategy.
Operate Autonomously: Have full ownership of your pipeline and outcomes. We support our team, but you will have broad latitude to run as you get up to speed.
Collaborate Cross-Functionally: Partner with our Product and Engineering teams to ensure the feedback from the field is baked into the PrismaX roadmap.
You Might Be a Fit If You…
The "Athlete" Mindset: The ability to run on your own in a rapidly changing industry during a period of hypergrowth.
Technical Depth: A penchant for digging into the data yourself, thinking from first principles, and understanding the nuances of how training data distribution affects model performance, how to balance data quantity and yield with client budgets and timelines, and how to work with clients to distill researchers’ requirements into effective, realistic data collection scenarios. Additionally, at least a superficial technical familiarity with modern foundation model architectures and the underlying statistical principles are a huge plus!________
Outcome Orientation: A history of being scrappy when it counts and flexibility of accepting an deliverable based salary
Bonus Points
The "Athlete" Mindset: The ability to run on your own in a rapidly changing industry during a period of hypergrowth.
Technical Depth: A penchant for digging into the data yourself, thinking from first principles, and understanding the nuances of how training data distribution affects model performance, how to balance data quantity and yield with client budgets and timelines, and how to work with clients to distill researchers’ requirements into effective, realistic data collection scenarios. Additionally, at least a superficial technical familiarity with modern foundation model architectures and the underlying statistical principles are a huge plus!________
Outcome Orientation: A history of being scrappy when it counts and flexibility of accepting an deliverable based salary
Business Development Manager, Enterprise (Robotics Data)
Location
San Francisco
Type
Full Time
Department
Operations
Overview
Bachelor’s degree or higher from a top-tier university
Proven BD experience (4 + years) within high-growth SV ecosystems, preferably within AI, SaaS, or high-growth tech.
A proven track record of closing high-stakes, large-scale enterprise deals.
What You’ll Do
Drive Full-Cycle Sales: Identify, qualify, and close high-value partnerships with enterprise robotics firms and autonomous vehicle labs.
Problem Solve: Take on difficult, ambiguous customer requirements and translate them into structured data labeling and collection solutions.
Build High-Trust Relationships: Partner with Heads of AI and Engineering Directors to influence their long-term data strategy.
Operate Autonomously: Have full ownership of your pipeline and outcomes. We support our team, but you will have broad latitude to run as you get up to speed.
Collaborate Cross-Functionally: Partner with our Product and Engineering teams to ensure the feedback from the field is baked into the PrismaX roadmap.
You Might Be a Fit If You…
The "Athlete" Mindset: The ability to run on your own in a rapidly changing industry during a period of hypergrowth.
Technical Depth: A penchant for digging into the data yourself, thinking from first principles, and understanding the nuances of how training data distribution affects model performance, how to balance data quantity and yield with client budgets and timelines, and how to work with clients to distill researchers’ requirements into effective, realistic data collection scenarios. Additionally, at least a superficial technical familiarity with modern foundation model architectures and the underlying statistical principles are a huge plus!________
Outcome Orientation: A history of being scrappy when it counts and flexibility of accepting an deliverable based salary
Bonus Points
The "Athlete" Mindset: The ability to run on your own in a rapidly changing industry during a period of hypergrowth.
Technical Depth: A penchant for digging into the data yourself, thinking from first principles, and understanding the nuances of how training data distribution affects model performance, how to balance data quantity and yield with client budgets and timelines, and how to work with clients to distill researchers’ requirements into effective, realistic data collection scenarios. Additionally, at least a superficial technical familiarity with modern foundation model architectures and the underlying statistical principles are a huge plus!________
Outcome Orientation: A history of being scrappy when it counts and flexibility of accepting an deliverable based salary