Director / Senior Director, AI

DoubleVerify-posted 3 months ago
$210,000 - $320,000/Yr
Full-time • Senior
New York, NY
1,001-5,000 employees
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DoubleVerify is investing in practical, business-driving AI. We’re hiring a Director / Senior Director to lead our Skunkworks R&D team and drive cross-company AI adoption. This leader will manage a small team of senior engineers, coordinate delivery of back-office AI initiatives across many stakeholders, and advise senior executives on strategy, governance, and transformation.

  • Lead the Skunkworks team to de-risk high-impact product/engineering workstreams through fast, rigorous R&D: proofs of concept, technical spikes, evaluation pilots, and recommendations (build/buy/partner).
  • Own the AI roadmap for internal enablement, orchestrating initiatives across Data, Security, Legal/Privacy, IT, Product, Finance, and Operations (e.g., agentic workflows, knowledge retrieval, internal copilots, automation).
  • Establish disciplined AI practices: experimentation frameworks, offline/online evals, A/B testing, prompt/memory/version control, guardrails, safety & red-teaming, cost/perf tracking, and observability.
  • Be an executive advisor on AI strategy: opportunity sizing, risk/controls, vendor landscape, TCO, and change-management; present clear recommendations and tradeoffs.
  • Scale the team and function: hire, mentor, and grow senior engineers and future managers; set goals, operating cadences, and SLAs.
  • Ship impact quickly: move from concept to pilot to production hand-off with clear success criteria and documentation.
  • Partner deeply with product & platform teams to accelerate the integration of AI components into existing systems at scale.
  • Champion compliance & trust: data governance, privacy-by-design, IP/PII handling, model/content safety, and vendor risk management.
  • Proven experience managing a small engineering team (and desire/ability to grow managers).
  • Track record delivering AI/ML or LLM-powered systems from concept to production (POCs → pilots → GA) in partnership with product and platform teams.
  • Strong grasp of modern AI stacks: Python; model orchestration, vector stores, retrieval patterns, evals; MLOps/LLMOps concepts (observability, drift, prompt/version management).
  • Familiarity with security, privacy, and governance considerations for AI (data retention, PII controls, model/content safety, vendor risk).
  • Ability to design experimentation & evaluation plans (offline metrics, synthetic and human evals, A/B tests) and make decisions from evidence.
  • Outstanding written & verbal communication; ability to create exec-ready narratives and technical docs.
  • Experience in ad tech, marketing tech, or other high-scale data domains.
  • Hands-on background with cloud platforms (AWS/Azure/GCP), data platforms (e.g., Snowflake/Databricks/BigQuery), orchestration (Airflow/Kubernetes), and modern app stacks.
  • Exposure to agents, tool-use, and workflow automation; grounding in cost/performance tradeoffs for inference (latency, throughput, caching).
  • MBA or demonstrated business/financial acumen (TCO modeling, vendor contracts, ROI).
  • Experience running an internal 'skunkworks' or innovation program.
  • The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
  • The estimated salary range for this role based on the qualifications set forth in the job description is between [$210,000.00 - $320,000.00].
  • This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
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