Head of Engineering and AI Products

My client is looking for a Head of Engineering & AI Products who will will lead the development of the unified engineering platform and shared infrastructure underpinning critical, customer-facing capabilities across the group's Salesforce-ecosystem products. Location: Hybrid - Boston or NYC area. RESPONSIBILITY. TEAM LEADERSHIP Designing, staffing, and leading the unified product organization, including the leveling and career paths that make a mergedteam credible to both product and engineering people.The delivery cadence, quality gates, and on-call and reliability practice that back our enterprise commitments — velocity gainedby removing layers, not by removing rigor.SOC 2 posture as a product and engineering responsibility built into the pipeline rather than bolted on before the audit.Partnership with Marketing and Sales on positioning, launch, enablement, analyst relations, and partner motions. EXPANDING AI STRATEGY — THE PRIMARY MANDATE Growing the AI products from the Intelligent Context Layer and into the primary reason customers choose the solution.Retrieval architecture as a product decision.Agentic product development tThe AI cost and latency envelope. Inference cost per answer and query cost against the customer's lake, tracked as hard productconstraints as usage grows.Cross-source AI outcomes made real, not demoedPRODUCT STRATEGY & ROADMAP The multi-source connector roadmap and its build order, defended with evidenceScope discipline per connector. Each new source ships to a fixed minimum-viable surfacePersona and application expansion. In addition, The platform is designed to help customers protect their Salesforce (and others) data, manage it through its full lifecycle Salesforce & other Data Replication Backup and Restore.Data Archive / Time MachineData Lake /Data LakehouseAPI Integration to Snowflake, Databricks, Veeva and others.ObservabilityWhat We Look For 10+ years in product management for enterprise B2B SaaS, including at least 4 years leading product teams and managing product managers.Working technical fluency in retrieval-augmented generation, context engineering, embeddings, and vector databases.Demonstrated experience building AI capability into a product that shipped and was used in productionHands-on use of AI tooling inside the development process.Experience leading a combined product and engineering team.A proven, verifiable track record: products you took to market, the segments you won, and the revenue you produced.Experience with data platforms, data infrastructure, integration, or analytics products sold to enterprises.Experience selling into and supporting large, regulated enterprises with procurement, security review, and compliance requirements.Required: Hands0n familiarity with specific vector and hybrid retrieval stacks (pgvector,OpenSearch or Elasticsearch, Pinecone, Weaviate, LanceDB, or equivalent)Products involving natural-language-to-query generation, semantic layers, or metadata-driven query construction over a warehouse or lake.Entity resolution, identity graphs, or record-linkage productsFluency with open table formats and cloud data platforms: Iceberg, Delta Lake, Parquet, Athena, Snowflake, Databricks, Redshift, BigQuery.Product experience shaped by compliance requirements — SOC 2, GDPR, HIPAA, DORA, data residency, and long-horizon or immutable retention.Model Context Protocol, agent tool design, or comparable agentic integration surfaces.Commercial fluency with enterprise and consumption-based pricing modelsTaking a company from a single product to a multi-product portfolio without fragmenting the customer experience.Please send your resumé in complete confidence to : yaz@yaz-associates.com PLEASE NOTE: ONLY USA NATIONAL OR GREEN CARD HOLDERS WILL BE CONSIDERED FOR THIS ROLE. AUTOMATIC DISQUALIFICATION FOR ALL NON-RESIDENTS.