Director, Product Management - Job Ingestion

We are looking for a Director, Product Management – Job Ingestion to own and drive our enterprise job acquisition and processing strategy. You will serve as the strategic product leader bridging technical data systems with core business growth levers.

In this role, you will lead the evolution of our web scraping, API feed integrations, ATS (Applicant Tracking System) connections, real-time event processing, and job parsing/normalization architectures across all BOLD web properties. The ideal candidate does not require domain experience in recruitment technology or HR tech, but must bring a strong background in data engineering or data systems (e.g., former Data Engineer, Systems Architect, or Technical Data PM).

This is a player/coach role and you should be skilled at driving outcomes as an individual contributor at times. You will leverage your technical depth to partner credibly with principal data engineers while applying strong business judgment and executive storytelling to connect job inventory health, latency, and quality directly to platform engagement, SEO footprint, and monetization.

About this team

Job Ingestion is the foundational engine that powers BOLD’s entire job discovery and recruitment platform. Our mission is to build, scale, and optimize high-throughput, enterprise-grade ingestion systems that aggregate, parse, normalize, and index millions of job postings daily across all BOLD properties and partner feeds.

By transforming high-volume, unstructured job data into rich, standardized job entities, our team enables critical downstream capabilities – most notably powering Search & Match, job alerts, SEO landing pages, recommendations, and employer analytics. We operate at the intersection of Data Engineering, Core Infrastructure, Search & Match, and Enterprise GTM to ensure job content is accurate, fresh, comprehensive, and instantly accessible to job seekers globally.

What you'll do

• Own Enterprise Strategy & ROI: Define and execute the multi-year Job Ingestion strategy, directly linking job processing improvements – scraping, ATS feeds, parsing, deduplication, and schema mapping – to downstream search relevance, candidate engagement, and business growth.
• Executive Storytelling & Alignment: Translate technical data concepts (pipeline latency, schema health, ATS stability) into executive-ready business narratives and clear investment proposals for leadership.
• Cross-Functional Partnership: Build trust and alignment across matrixed teams, including Data Engineering, Search & Match, SEO, Portal, Mobile, and Job Alerts, to ensure seamless integration of normalized job content into all downstream surfaces.
• Operational & Technical Execution: Lead cross-functional squads (data engineers, PMs, QA) to drive predictable delivery, establishing rigorous metrics for pipeline uptime, parsing accuracy, deduping precision, and data freshness.
• Data Quality & Governance: Establish schema validation, content freshness, spam/scam detection, and compliance standards to maintain high job catalog health without breaking downstream search indices.
• Team Development & Product Rituals: Coach and mentor product managers in business sense and executive communication, while establishing operational rituals that drive velocity and clarity.

What you'll need

8–10+ years of product management experience (or equivalent technical leadership experience) leading complex, large-scale data platforms, ETL/ELT pipelines, scraping/crawling engines, or event-driven data architectures.

Deep Data Background: Strong technical depth in data engineering foundations (e.g., former Data Engineer, Systems Architect, or Technical PM in data platforms). Hands-on familiarity with structured/unstructured data extraction, schema design, distributed processing, and cloud ecosystem components (AWS, GCP, Kafka, Snowflake).

Proven Executive Presence: Exceptional communication and storytelling skills—able to synthesize complex data pipeline challenges into clear business impact for executive leadership and board presentations.

Cross-Functional Leadership: Skilled at operating in highly matrixed environments, driving alignment between core data teams and consumer/GTM product teams.

People Leadership: Demonstrated success coaching, mentoring, and guiding technical product managers to build strong talent pipelines and high-performing teams.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Quantitative Analysis, or a related technical field (or equivalent practical experience).

What's good to have

Prior Engineering Role: Direct experience as a Data Engineer, Software Engineer, or Data Architect prior to transitioning into Product Management.

Large-Scale Web Scraping & Ingestion: Direct experience building or operating large-scale web crawling infrastructure, multi-tenant API aggregators, or enterprise catalog processing systems

Search & ML Literacy: Understanding of how ingested, normalized data feeds directly into downstream AI/ML models, vector databases, or search engines (e.g., Elasticsearch, vector embeddings).

Additional Pay Ranges

All other locations:

$170,000-$200,000

SF/NY/Seattle

: $190,000-$240,000

IL/TX

: $180,000-$220,000

About Bold

We Transform Work Lives

As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate And Promote Diversity And Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.