Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: The Business Development Representative, Physical AI will be responsible for identifying, engaging, and qualifying new business opportunities across the rapidly growing Physical AI ecosystem. This role will focus on building a strong pipeline of companies developing robotics, embodied AI, autonomous systems, and Physical AI foundation models that can benefit from Innodata’s data engineering, data collection, training data, model evaluation, and AI development services. The BDR will work closely with Innodata’s Physical AI leadership to identify high-potential accounts, engage relevant technical and business decision makers, qualify opportunities, and transition qualified prospects into pilots and commercial engagements. This role is approximately 70% outbound prospecting, qualification, and customer-facing activity and 30% account research & planning. What You’ll Own: Outbound Prospecting & Qualification Research emerging Physical AI companies, funded robotics startups, autonomous systems, and other Physical AI foundation-model developers. Build targeted account and contact lists through market mapping, industry research, conferences, inbound engagement, and outbound prospecting. Identify relevant technical and business decision makers across AI, machine learning, robotics, data, engineering, product, and research organizations. Conduct personalized outreach through email, LinkedIn, industry events, and other channels to generate qualified meetings. Conduct discovery calls to understand customer requirements, timelines, technical challenges, and potential commercial opportunities. Support the transition of qualified opportunities into pilots, proof-of-concept programs, and larger commercial engagements. Coordinate customer-facing meetings, follow-ups, demonstrations, and technical discussions as needed. Track relevant industry developments, funding activity, product launches, and technology trends that may create new opportunities for Innodata. You’ll Thrive in This Role If You Have: Bachelor’s degree or equivalent professional experience. 1–3+ years of experience in business development, technology sales, or a related customer-facing role. Interest in artificial intelligence, robotics, autonomous systems, machine learning, or emerging technologies. Strong written and verbal communication skills, including the ability to develop concise and highly personalized prospect outreach. Strong research skills and the ability to identify relevant companies, initiatives, and decision makers within complex organizations. Demonstrated ability to build consultative relationships with prospects, customers, and internal cross-functional teams. Must: A proactive, entrepreneurial approach and comfort working in a fast-moving and evolving market. Prior experience in AI, robotics, data services, enterprise technology, or technical business development is preferred but not required. The expected salary range for this position is $70,000 – $85,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at consumer.ftc.gov. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Requirements

Must-haves

The Business Development Representative, Physical AI will be responsible for identifying, engaging, and qualifying new business opportunities across the rapidly growing Physical AI ecosystem.
This role is approximately 70% outbound prospecting, qualification, and customer-facing activity and 30% account research & planning.
Outbound Prospecting & Qualification
Research emerging Physical AI companies, funded robotics startups, autonomous systems, and other Physical AI foundation-model developers.
Build targeted account and contact lists through market mapping, industry research, conferences, inbound engagement, and outbound prospecting.
Identify relevant technical and business decision makers across AI, machine learning, robotics, data, engineering, product, and research organizations.
Conduct personalized outreach through email, LinkedIn, industry events, and other channels to generate qualified meetings.
Conduct discovery calls to understand customer requirements, timelines, technical challenges, and potential commercial opportunities.
Support the transition of qualified opportunities into pilots, proof-of-concept programs, and larger commercial engagements.
Coordinate customer-facing meetings, follow-ups, demonstrations, and technical discussions as needed.
Track relevant industry developments, funding activity, product launches, and technology trends that may create new opportunities for Innodata.
You’ll Thrive in This Role If You Have:
Bachelor’s degree or equivalent professional experience.
1–3+ years of experience in business development, technology sales, or a related customer-facing role.
Interest in artificial intelligence, robotics, autonomous systems, machine learning, or emerging technologies.
Strong written and verbal communication skills, including the ability to develop concise and highly personalized prospect outreach.
Strong research skills and the ability to identify relevant companies, initiatives, and decision makers within complex organizations.
Demonstrated ability to build consultative relationships with prospects, customers, and internal cross-functional teams.
Must: A proactive, entrepreneurial approach and comfort working in a fast-moving and evolving market.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Nice-to-haves

Prior experience in AI, robotics, data services, enterprise technology, or technical business development is preferred but not required.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: greenhouse
Effort: quick