YipitData - Product Manager, Quant Platform
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Requirements
• 8+ years of product management experience, with a strong preference for experience building products for buy-side systematic / quantitative users • 8+ years of product management experience • Deep familiarity with the quant / systematic investing workflow - including factor construction, backtesting, signal evaluation, and portfolio construction • quant / systematic investing workflow • Experience defining and shipping data-intensive or quantitative products - factor feeds, signal libraries, analytics platforms, or similar • data-intensive or quantitative products • Strong ability to translate between quantitative research and product/engineering requirements - you can read a research paper and turn it into a product spec • quantitative research and product/engineering requirements • Proven ability to work cross-functionally across research, engineering, sales, and marketing in a high-growth environment • research, engineering, sales, and marketing • Excellent customer research skills - you know how to run discovery with sophisticated quant buyers and synthesize feedback into product decisions • Strong commercial instinct - comfort with ARR accountability, pricing strategy, and competitive positioning • ARR accountability, pricing strategy, and competitive positioning • Preferred • Experience at a quantitative hedge fund, systematic asset manager, or alternative data provider serving the quant buy-side • quantitative hedge fund, systematic asset manager, or alternative data provider • Familiarity with alternative data (transaction data, web traffic, app data, email receipts, B2B spend, etc.) and how it's used in systematic strategies • alternative data • Understanding of factor model frameworks (e.g., Barra, Axioma, or proprietary risk models) and how alpha signals are evaluated relative to traditional factors • factor model frameworks • Experience building or managing data delivery infrastructure - APIs, flat file feeds, cloud delivery, or data platforms • data delivery infrastructure • Comfort with Python, SQL, or similar tools for data exploration (you don't need to be a quant, but you should be able to dig into data) • Python, SQL, or similar tools
Responsibilities
• Quant Platform & Factor Library Development • Define and own the product spec for our factor library - including factor definitions, universe/coverage rules, methodology notes, historical evidence packs, factor exposure files, QA frameworks, and update cadence • factor library • Build and scale a standardized factor taxonomy (e.g., growth factors, acceleration/inflection factors, surprise/revision-type factors) across multiple proprietary datasets • standardized factor taxonomy • Collaborate with our quant research team to perform deep diligence on datasets and publish high-alpha signal research, translating raw research into repeatable, productized factor pipelines • publish high-alpha signal research • Sequence the factor library from an initial constrained beta toward a complete library with traditional baseline factor models, alt-data factors, and incremental attribution frameworks. • Take quant researcher signal research and collaborate with engineering partners to turn insights into repeatable, scalable factor computation and delivery pipelines • turn insights into repeatable, scalable factor computation and delivery pipelines • Define product requirements for factor infrastructure - including reference data dependencies, standardized identifiers, automated QA, and monitoring systems • Own the product-side accountability for ensuring factor pipelines are highly stable, accurate, and delivered on a consistent frequency • Customer Research & End-Market Strategy • Conduct deep customer research to understand key systematic end-user needs, feed architecture designs, integration requirements, and backtesting workflows • customer research • Translate customer insights into a product build and prioritization pipeline that serves the full spectrum of quant buyers - from large systematic multi-managers running bespoke models to smaller funds consuming pre-packaged signals • prioritization pipeline • Support pricing, packaging, and competitive positioning decisions for quant products in partnership with GTM teams • Go-to-Market & Commercial Accountability • Partner closely with our revenue and product marketing teams to build GTM plans for signals and bring them to market - including client-ready case studies, evidence packs, and methodology documentation • revenue and product marketing teams • ARR and P&L accountability • Collaborate with Product Specialists (our product-sales translators) to enable sales motions, support client conversations, and scale enablement across the quant product portfolio • Cross-Functional Collaboration • Partner with Engineering on technical approach, scaled infrastructure, delivery architecture, and reliability - you own strategy and direction; engineering owns implementation • Engineering • Work closely with Quant Researchers, who function as a key internal customer providing research requirements, content, and deliverables for the external quant end market • Quant Researchers • Coordinate with Feed Operations on day-to-day delivery, incident management, and operational improvements • Feed Operations • Partner with the CS team (who own feed retention and renewal) to drive retention, expansion, and client satisfaction • CS team
Benefits
• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! • The annual on-target earnings for this position is anticipated to be up to $180-200k. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. • The annual on-target earnings for this position is anticipated to be up to • $180-200k • . The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. • The compensation package also includes equity. • This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. • This role may be performed fully remotely within the United States. • If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. • Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. • We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. • Job Applicant Privacy Notice
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