Business Development Representative - Federal Practice
Job Description
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Generates and qualifies first meetings at enterprise accounts served by the federal practice: defense prime contractors, systems integrators, and security and autonomy companies whose end customers are government. The position works a named target account list, obtains access, establishes the program and the funding source, and hands the meeting to the Director of Enterprise Sales.
This position does not close and does not perform capture. Its output is qualified access.
Innodataâs federal practice supplies the data and evaluation layer beneath AI systems: corpus triage and curation, dataset engineering and release, and independent model and agent evaluation. The buyer sits in an engineering, data science, or chief technology organization rather than in procurement, and the budget is typically company-funded engineering money rather than program scope.
What Youâll Own:
- Outbound engagement against a named account list maintained by Business Development, beginning with prime engineering organizations and commercial accounts serving government end customers.
- Account and contact mapping inside target companies, identifying buying centers and the titles that hold internally funded budget, maintained in Salesforce rather than in a personal spreadsheet.
- Pre-event attendee and exhibitor research, with meetings booked in advance of travel rather than worked on the show floor.
- Qualification calls establishing the program, the buyer, and the funding source, with a written handoff to the receiving seller.
- Follow-up against dormant sources of access, including prior requests for information and industry day contacts that have not converted.
- Salesforce record maintenance: contact and account creation, activity logging, stage discipline, and duplicate avoidance.
Youâll Thrive in This Role If You Have:
- 1 to 3 years in a sales development or business development representative role against an activity or meeting quota, with attainment the candidate can state in figures.
- Outbound selling of technical services rather than seat-based or license-based software.
- Independent account and contact research producing a named target map, rather than working a list supplied by marketing.
- Written outbound that is built on account specifics. Candidates should expect to be assessed on writing.
- Disciplined CRM record maintenance, with Salesforce preferred.
- Bachelorâs degree in any field, or equivalent demonstrated experience in a quota-carrying outbound role.
Preferred Qualifications:
- Outbound into defense primes, systems integrators, or federal agencies.
- Event-driven pipeline generation, including pre-event research and booked meetings with outcomes the candidate can describe.
- Familiarity with artificial intelligence, data engineering, or machine learning subject matter sufficient to hold a first conversation without solutions engineering support.
- Experience supporting a named-account seller rather than working an undifferentiated territory.
- Working knowledge of sequencing platforms, LinkedIn Sales Navigator, and contact-data services.
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Innodata
View Company ProfileInnodata is an elite, global data engineering and AI enablement powerhouse engineered to orchestrate massive-scale high-quality data operations, algorithmic training datasets, and digital transformation workflows for the worldâs largest technology companies and enterprises. Operating as a critical "intelligence infrastructure layer" for the modern AI economy, the company eliminates the operational friction of deploying complex LLMs and generative AI applicationsâwhich frequently suffer from low-quality training data, biased outputs, and fragmented annotation pipelinesâby seamlessly deploying a combination of advanced proprietary data annotation platforms, automated synthetic data generation, and an elite global network of subject matter experts. Moving beyond basic crowdsourced data validation paradigms, Innodata empowers Fortune 500 enterprises, global legal publishers, and leading medical institutions to dynamically scale their core AI foundation models, custom machine learning pipelines, and multi-modal semantic data processing with elite, scalable, and audit-ready precision. Under the hood, their sophisticated operational frameworkâbolstered by strict data security compliance, persistent programmatic data quality controls, and deep domain expertise across vertical domains like legal, healthcare, and financeânatively manages high-velocity data curation, complex enterprise knowledge graph construction, and high-stakes model evaluation. What sets Innodata apart is its uncompromising dedication to purpose-driven data craftsmanship; by bridging the gap between raw, unstructured enterprise information and high-performance, fine-tuned AI execution, the firm enables global commercial organizations to radically accelerate their AI time-to-market, eliminate systemic data engineering bottlenecks, and build an unassailable foundation for continuous commercial growth in the modern, AI-transformed global marketplace.
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