Head of Engineering - AI - Data Resilience / Salesforce

Yaz Associates GmbH; Boston (MA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Yaz Associates GmbH seeks a Head of Engineering & AI Products to lead the unified engineering platform and shared infrastructure across Salesforce-ecosystem products. Hybrid work in Boston or NYC area.

Candidate will shape AI strategy, product roadmap and cross-functional leadership, delivering scalable data replication, data lake, and integrations with Snowflake, Databricks, and more. The role requires 10+ years in enterprise SaaS product management, strong fluency in retrieval-augmented

Qualifications

• 10+ years in product management for enterprise B2B SaaS with leadership experience.
• Technical fluency in retrieval-augmented generation, context engineering and vector databases.
• Proven track record shipping AI capabilities integrated into production products.
• Experience leading combined product and engineering teams.
• Comfort with compliance (SOC 2, GDPR, HIPAA, etc.) and data residency.
• Ability to navigate enterprise procurement and security reviews.

Responsibilities

• Lead design and staffing of a unified product organization and career progression.
• Own the AI products strategy from Intelligent Context Layer to market-leading offering.
• Define roadmap for multi-source connectors with minimum viable surface for each.
• Ensure SOC 2 posture is built into pipeline and audited as part of product lifecycle.
• Collaborate with Marketing and Sales on positioning, launches, and partner motions.
• Oversee data replication, backup/restore, data lake, and API integrations with major platforms.

Skills

Product management

Enterprise B2B SaaS

AI product leadership

Retrieval-augmented generation

Context engineering

Embeddings

Vector databases

AI tooling

Data platforms

Security & compliance

Education

Bachelor's or higher in a technical field

Tools

OpenSearch/Elasticsearch

pgvector

Pinecone

Weaviate

LanceDB

Snowflake

Databricks

Redshift

BigQuery

Job description

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.
• The AI cost and latency envelope. Inference cost per answer and query cost against the customer's lake, tracked as hard productconstraints as usage grows.

PRODUCT STRATEGY & ROADMAP

• The multi-source connector roadmap and its build order, defended with evidence
• Scope discipline per connector. Each new source ships to a fixed minimum-viable surface
• Persona 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 Machine
• Data Lake /Data Lakehouse
• API Integration to Snowflake, Databricks, Veeva and others.
• Observability

What 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 production
• Hands-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 products
• Fluency 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 models
• Taking a company from a single product to a multi-product portfolio without fragmenting the customer experience.

PLEASE NOTE: ONLY USA NATIONAL OR GREEN CARD HOLDERS WILL BE CONSIDERED FOR THIS ROLE.

AUTOMATIC DISQUALIFICATION FOR ALL NON-RESIDENTS.