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YipitData
YipitData
201 – 500 Angajați
Analiza datelorFinanțeÎntreprindere
YipitData este o companie de date și cercetare care oferă servicii investitorilor, companiilor și partenerilor de date prin seturi de date alternative și informații despre piață. Analiștii săi procesează zilnic miliarde de puncte de date provenite din bonuri, carduri, internet și rapoarte de câștiguri publicate, pentru a oferi perspective actualizate asupra comportamentului consumatorilor, tendințelor pieței, categoriilor de produse și performanței companiilor. Cercetarea companiei îi ajută pe clienți să evalueze piețe, să urmărească concurenții, să înțeleagă cererea și să ia decizii informate privind creșterea și investițiile.
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Locurile de muncă ale companiei

Group Product Manager, Data Feeds

Lead YipitData’s commercial data feeds portfolio and product management team. Shape product strategy, customer adoption, integrations, and revenue growth.

USStatele Unite ale Americii
190.000 $ – 205.000 $ / an
RemoteNormă întreagăSeniorLiderLimbă Obligatorie: englezăSpecialist în știința datelor
CloudPythonSQL

Descriere

  • Lead, coach, and develop a team of product managers
  • Define product ownership, goals, and decision-making standards
  • Establish processes for planning, roadmap reviews, customer feedback, and performance measurement
  • Recruit and grow product management talent
  • Own portfolio strategy in line with broader business priorities
  • Set product vision and guide roadmap development
  • Prioritize investments across roadmaps and shared capabilities
  • Validate use cases and commercial demand for new data sources
  • Identify portfolio gaps, overlap, and opportunities to combine datasets
  • Recommend products to scale, enhance, consolidate, or retire
  • Act as hands-on product manager for a strategically important data feed or quant-focused initiative
  • Lead customer discovery, analyze data, and convert customer needs into product decisions
  • Work with Data, Engineering, Data Science, and Quant Research to evaluate feasibility and launch products
  • Refine products using client evaluation and integration feedback
  • Share responsibility for portfolio revenue, retention, expansion, and product economics
  • Collaborate on pricing, packaging, positioning, sales, and evaluation processes
  • Define and monitor adoption, evaluation conversion, time to value, retention, and commercial performance
  • Set standards for data quality, coverage, timeliness, documentation, and delivery
  • Collaborate on quality controls, monitoring, change management, and issue resolution
  • Improve discovery, evaluation, onboarding, integration, and support for data feeds
  • Help clients understand methodologies, limitations, historical changes, and use cases
  • Create a consistent experience for quantitative and systematic customers
  • Coordinate Product, Data, Engineering, Research, Quant, Applications, and commercial teams
  • Work with Quant Research to address systematic investor requirements
  • Assess data opportunities based on customer needs, licensing constraints, quality, and economics
  • Present strategy, tradeoffs, progress, and risks to leadership and cross-functional stakeholders

Cerințe

  • Bring significant product management experience, typically 7+ years, including ownership of commercial data products, data feeds, or similarly data-intensive B2B products
  • Have experience directly managing and developing product managers
  • Demonstrate a record of taking products from customer discovery through launch and scale, with measurable customer and business outcomes
  • Apply strong portfolio judgment and prioritization skills
  • Understand commercial levers including pricing, packaging, revenue growth, retention, and product economics
  • Use SQL proficiently and Python comfortably to investigate data and evaluate product questions
  • Bring technical fluency in data products, including schemas, methodologies, quality, delivery mechanisms, and the effects of product changes
  • Communicate effectively and lead across functions
  • Remain a hands-on product owner while building and leading a team
  • Preferred: experience with alternative data, financial data, or investment research products
  • Preferred: familiarity with fundamental, quantitative, or systematic investment workflows, including dataset evaluation, backtesting, and integration
  • Preferred: experience building portfolios for multiple customer segments or combining multiple data sources
  • Preferred: experience with third-party data partnerships, licensing considerations, and vendor dependencies
  • Preferred: familiarity with APIs, cloud-based data delivery, and data quality and operational reliability practices

Beneficii

  • Flexible working hours
  • Flexible vacation policy
  • Generous 401(k) match
  • Parental leave
  • Team events
  • Wellness budget
  • Learning reimbursement
  • Equity
  • Annual performance-based bonus of up to 15%
  • Fully remote work within the United States

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