Description
Director, Deployment Strategist (Applied AI / Healthcare / Regulated Data)
Beacon Talent is conducting a confidential search for a venture-backed technology company building an applied AI platform used by teams developing models in regulated, data-intensive environments (e.g., healthcare and adjacent domains). The platform helps customers evaluate performance, operationalize evidence, and streamline adoption with rigorous data workflows and domain-expert guidance.
The Opportunity
This role owns a portfolio of the company's most strategic customersmany of whom are technical AI teamsensuring projects launch smoothly, deliver measurable outcomes, and expand into long-term partnerships. You'll sit at the intersection of customer success, program delivery, and product influence, partnering closely with Engineering, Data, Product, and Leadership.
What You'll Do
Own high-stakes customer programs
Run cross-functional execution (and jump in when needed)
Be the primary customer interface
Convert insights into product leverage
Drive retention and growth
What Success Looks Like (First 612 Months)
What You Bring (Required)
6+ years in a client-facing role: customer success, strategic account management, solutions consulting, engagement management, or similar.
Demonstrated strength in program/project management across cross-functional technical teams.
Comfort working with complex data products (structured + unstructured; bonus for imaging, time-series, waveforms, or multimodal pipelines).
Ability to bridge technical and non-technical conversationscredible with ML/engineering and effective with senior executives.
Track record of driving retention and expansion (renewals, upsell, multi-year partnerships, or growth in account scope).
Highly organized, proactive, and effective in fast-moving, build-as-you-go environments.
Nice to Have
Experience in regulated AI (healthcare, life sciences, fintech, insurance, public sector, etc.).
Familiarity with evaluation/validation concepts (model performance studies, monitoring, data quality frameworks, evidence generation).
Exposure to regulatory, compliance, or procurement considerations that influence adoption.
Prior work supporting consortium-style initiatives, research collaborations, or multi-stakeholder programs.
Compensation & Benefits
Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.
Description
Director, Deployment Strategist (Applied AI / Healthcare / Regulated Data)
Beacon Talent is conducting a confidential search for a venture-backed technology company building an applied AI platform used by teams developing models in regulated, data-intensive environments (e.g., healthcare and adjacent domains). The platform helps customers evaluate performance, operationalize evidence, and streamline adoption with rigorous data workflows and domain-expert guidance.
The Opportunity
This role owns a portfolio of the company's most strategic customersmany of whom are technical AI teamsensuring projects launch smoothly, deliver measurable outcomes, and expand into long-term partnerships. You'll sit at the intersection of customer success, program delivery, and product influence, partnering closely with Engineering, Data, Product, and Leadership.
What You'll Do
Own high-stakes customer programs
Run cross-functional execution (and jump in when needed)
Be the primary customer interface
Convert insights into product leverage
Drive retention and growth
What Success Looks Like (First 612 Months)
What You Bring (Required)
6+ years in a client-facing role: customer success, strategic account management, solutions consulting, engagement management, or similar.
Demonstrated strength in program/project management across cross-functional technical teams.
Comfort working with complex data products (structured + unstructured; bonus for imaging, time-series, waveforms, or multimodal pipelines).
Ability to bridge technical and non-technical conversationscredible with ML/engineering and effective with senior executives.
Track record of driving retention and expansion (renewals, upsell, multi-year partnerships, or growth in account scope).
Highly organized, proactive, and effective in fast-moving, build-as-you-go environments.
Nice to Have
Experience in regulated AI (healthcare, life sciences, fintech, insurance, public sector, etc.).
Familiarity with evaluation/validation concepts (model performance studies, monitoring, data quality frameworks, evidence generation).
Exposure to regulatory, compliance, or procurement considerations that influence adoption.
Prior work supporting consortium-style initiatives, research collaborations, or multi-stakeholder programs.
Compensation & Benefits
Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.
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