Director, Product Management - Job Ingestion
B
BOLDJob data platforms
BOLD can hire full-time residents of the following U.S. States & Territories: Arizona, California, Colorado, Connecticut, District of Columbia (Washington D.C) Florida, Georgia, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Puerto Rico, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.Full-TimeDirector
SalaryAll other locations: $170,000-$200,000; SF/NY/Seattle: $190,000-$240,000; IL/TX: $180,000-$220,000. Starting pay range $170,000 — $240,000 USD. Bi-annual bonus; equity in company.
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Job Details
- Experience
- 8–10+ years of product management experience (or equivalent technical leadership experience)
- Required Skills
- KafkaProduct ManagementSnowflakeData engineering
Requirements
- Bring 8–10+ years of product management experience or equivalent technical leadership experience.
- Have led complex, large-scale data platforms, ETL/ELT pipelines, scraping/crawling engines, or event-driven data architectures.
- Bring strong technical depth in data engineering foundations.
- Have familiarity with structured and unstructured data extraction, schema design, distributed processing, and cloud ecosystem components such as AWS, GCP, Kafka, and Snowflake.
- Communicate and tell stories effectively, synthesizing data pipeline challenges into business impact for executive leadership and board presentations.
- Lead across matrixed environments and align core data teams with consumer and GTM product teams.
- Demonstrate success coaching, mentoring, and guiding technical product managers.
- Have a bachelor's degree in Computer Science, Data Engineering, Information Systems, Quantitative Analysis, or a related technical field, or equivalent practical experience.
- Preferred: Prior experience as a Data Engineer, Software Engineer, or Data Architect.
- Preferred: Experience building or operating large-scale web crawling infrastructure, multi-tenant API aggregators, or enterprise catalog processing systems.
- Preferred: Understanding of how normalized data supports AI/ML models, vector databases, or search engines such as Elasticsearch.
Responsibilities
- Define and execute the multi-year Job Ingestion strategy, linking processing improvements to search relevance, candidate engagement, and business growth.
- Translate pipeline latency, schema health, and ATS stability into executive-ready business narratives and investment proposals.
- Align Data Engineering, Search & Match, SEO, Portal, Mobile, and Job Alerts teams around integration of normalized job content.
- Lead cross-functional squads of data engineers, product managers, and QA to deliver predictably.
- Establish metrics for pipeline uptime, parsing accuracy, deduping precision, and data freshness.
- Set schema validation, content freshness, spam/scam detection, and compliance standards for job catalog health.
- Coach and mentor product managers in business judgment and executive communication.
- Establish product rituals that support delivery velocity and clarity.
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