Director, Product Management – Job Ingestion

🕒 vor 19 Tagen

🌵 Arizona, California, +21 weitere Bundesländer – Remote

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💵 $170.000 - $240.000 / Jahr

⏰ Vollzeit

🔴 Experte

✅ Produktmanager

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 0%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of BOLD

BOLD

1001 - 5000 Mitarbeiter

Gegründet 2005

💼 Beratung

📣 Marketing

🎯 Rekrutierung

Consulting • Marketing • Recruitment

BOLD ist ein Technologieunternehmen, das KI-gestützte Karriere-Tools und Plattformen für Arbeitssuchende entwickelt, darunter Lebenslauf- und Anschreiben-Generatoren, Jobbörsen, Netzwerkplattformen und Lösungen zur Karriereproduktivität. Seine Produkte und Forschungen nutzen maschinelles Lernen, UX-Forschung und starke Sicherheitspraktiken, um Einzelpersonen weltweit bei der Jobsuche, der Verbesserung der Karriereergebnisse und der Bewältigung von Karriereübergängen zu unterstützen.

Beschreibung

• Own and execute the multi-year Job Ingestion strategy • Link scraping, ATS feeds, parsing, deduplication, and schema mapping improvements to search relevance, candidate engagement, and business growth • Translate pipeline latency, schema health, and ATS stability into executive-ready narratives and investment proposals • Build alignment across Data Engineering, Search & Match, SEO, Portal, Mobile, and Job Alerts teams • Lead cross-functional squads of data engineers, product managers, and QA • Establish metrics for pipeline uptime, parsing accuracy, deduplication precision, and data freshness • Establish schema validation, content freshness, spam/scam detection, and compliance standards • Coach and mentor product managers and establish operational rituals • Lead the evolution of web scraping, API feed integrations, ATS connections, real-time event processing, and job parsing/normalization architectures across BOLD web properties

🎯 Anforderungen

• 8–10+ years of product management experience or equivalent technical leadership experience • Experience leading complex, large-scale data platforms, ETL/ELT pipelines, scraping/crawling engines, or event-driven data architectures • Strong technical depth in data engineering foundations • Hands-on familiarity with structured/unstructured data extraction, schema design, distributed processing, AWS, GCP, Kafka, and Snowflake • Exceptional communication and storytelling skills for executive leadership and board presentations • Experience operating in highly matrixed environments and aligning data teams with consumer/GTM product teams • Demonstrated success coaching, mentoring, and guiding technical product managers • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Quantitative Analysis, or a related technical field, or equivalent practical experience • Prior experience as a Data Engineer, Software Engineer, or Data Architect is good to have • Experience with large-scale web crawling infrastructure, multi-tenant API aggregators, or enterprise catalog processing systems is good to have • Understanding of AI/ML models, vector databases, or search engines such as Elasticsearch is good to have

🏖️ Vorteile

• Bi-annual bonus • 401(k) plan with match • Equity in company • Flexible spending accounts (health, dependent care) • Internet and home office reimbursement • Medical, dental, and vision (optional plans for your family) • Life & long-term disability insurance (optional) • Mental health support and resources • Wellness reimbursement (gym, health apps, etc.) • Pet Insurance (optional) • Flexible PTO • Sick time policy • Observed holidays • Competitive salary • Potential eligibility for bonus and medical, dental, vision, life, short and long-term disability insurance, 401(k), paid time off, sick leave, and paid holidays, subject to applicable plan terms

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