Top 2621 Venture Capital Jobs

VP, Data Platform and Knowledge
Wolfe, LLC —Pittsburgh, PA
- $200,000 - $226,000 a year
- Full-time
- Databases
- Senior level
- 10 years
- Disability insurance
- Health insurance
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DataAnnotation —Beverly Hills, CA
- $50 - $100 an hour
- Part-time
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- English
- Master's degree
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DataAnnotation —Mountain View, CA
- $50 - $100 an hour
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DataAnnotation —Chandler, AZ
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Valuation Manager (Venture Capital/Private Companies)
aVenture —Remote
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Venture Capital Analyst
MicroVentures —Austin, TX
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VC Lab —Remote
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Front End Engineer (Remote)
VC Lab —Remote
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Senior Analyst, Venture Capital
HighVista Strategies —Boston, MA
- Full-time
- Writing skills
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Venture Capital Analyst - AI Trainer
DataAnnotation —Casa, AR
- $50 - $1,743 an hour
- Part-time
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- Mid-level
- Doctor of Philosophy
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4d
Software Engineer
Wolfe, LLC —Pittsburgh, PA
- $85,000 - $95,000 a year
- Full-time
- Background check
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Corporate Partner Attorney -- M&A, Financing, Venture Capital ($500K+ book required)
Leoforce —Los Angeles, CA
- $275,000 - $450,000 a year
- Senior level
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1d
Corporate Associate Attorney (5+ years) -- M&A, Financing, Venture Capital and more
Leoforce —Cerritos, CA
- $150,000 - $350,000 a year
- 5 years
- Contracts
- Senior level
- Profit sharing
- Opportunities for advancement
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1d
Junior Analyst - Venture Capital
StepStone Group —Baltimore, MD
- $25 an hour
- 18 years or older
- Writing skills
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Decile Capital Resident, Fundraising & Operations (Remote)
VC Lab —Remote
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Venture Associate (Remote)
VC Lab —Silicon Valley, CA
- $80,000 - $110,000 a year
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- Bilingual
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Associate - Emerging Companies and Venture Capital
Norm Ai —New York, NY
- $270,000 - $410,000 a year
- Full-time
- Mid-level
- 3 years
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Backend Engineer
GoGoGrandparent —Wilmington, DE
- $80,000 - $180,000 a year
- Remote
- 6 years
- Software troubleshooting
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Corporate Entry Level Associate
Duane Morris —Philadelphia, PA
- $220,000 a year
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VC Lab —Remote
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- 2 years
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- Flexible schedule

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VP, Data Platform and Knowledge

Wolfe, LLC -
Pittsburgh, PA

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Job Details

Full-time
$200,000 - $226,000 a year

Benefits

Disability insurance
Health insurance
Dental insurance
401(k)
RSU
Tuition reimbursement
Paid time off
Vision insurance
Life insurance
Referral program

Qualifications

Data structures
Managing data teams
Infrastructure architecture
Databases
Data Architecture Design (Architecture design skills)
Production systems
Budget development
Scalability
Technical architecture
Cross-functional communication
Organizational budget management
Senior leadership

Full Job Description

Description

Wolfe is building the data and knowledge foundation that every AI-powered product, team, and decision in the company will run on and we’re looking for a VP-level leader to own it. As VP of Data Platform & Knowledge, you will set the strategic direction for how Wolfe ingests, governs, structures, and surfaces information at scale. This is an executive-level, high-trust role at the intersection of data engineering, knowledge architecture, and AI infrastructure one that sits at the center of Wolfe’s long-term competitive advantage.

You will work directly with the C-suite and cross-functional leadership to make our data trustworthy, our AI teams self-sufficient, and our platform ready to grow as fast as the business demands. You’ll bring a founder’s sense of urgency and ownership, operating with the authority to make decisions, the accountability to deliver outcomes, and the influence to align the entire organization around a shared data standard.

This is not a hands-on engineering role. You will set direction, attract and lead talent, and hold the organization accountable to results.

This is a 5-day onsite role in Pittsburgh, PA.

Responsibilities

Own the enterprise-wide data and knowledge platform strategy including ingestion pipelines, governance frameworks, vector databases, and semantic search infrastructure ensuring every layer is production-grade, scalable, and AI-ready.
Define, enforce, and evangelize data quality and governance standards that operate by default, not by committee, eliminating friction for AI and engineering teams building on the platform.
Serve as a key executive stakeholder across AI product, engineering, and business leadership translating platform capability into business outcomes and ensuring organizational alignment on data standards and prioritization.
Build, grow, and retain a high-performing team of data and knowledge engineers, setting a culture of velocity, ownership, and measurable accountability at every layer of the stack.
Drive the architecture and expansion of Wolfe’s knowledge foundations including systematic onboarding of new data sources so that growth in data complexity creates clarity, not chaos.

Impact Statement: For more clarity on the role, below are the success metrics and measurements for this role in the first 90 to 120 days.

Data trust is quantified, not assumed: A data quality scoring system is live across all core data sources, with at least 90% of priority datasets rated and documented and a defined SLA for how quickly a data quality issue is identified, escalated, and resolved (target: under 24 hours from detection to remediation).
New source onboarding is systematized and proven: A repeatable ingestion onboarding process is documented and has been successfully used to bring at least one net-new data source from scoping to production in 30 days or fewer, with zero regression to existing pipelines.
AI teams are unblocked and self-sufficient: At least two active AI product teams can independently identify which data sources to rely on for their use case measured by a reduction in ad hoc data questions escalated to the platform team by at least 50% compared to baseline at time of hire.

Qualifications

10+ years of progressive experience in data platform, data engineering, or knowledge infrastructure with at least 5 years in a senior leadership role owning a team, a budget, and a multi-year roadmap.
Executive-level track record of building or scaling a data platform at a high-growth technology company, ideally in an AI-native or AI-first environment where semantic data structure and reliability are core product requirements.
Deep fluency in modern data stack components including vector databases, embedding pipelines, and LLM-adjacent infrastructure with the authority and experience to make high-stakes architectural decisions and hold engineering teams accountable to them.
Proven ability to operate at the executive level: aligning C-suite stakeholders, communicating complex platform tradeoffs in business terms, and driving company-wide adoption of data standards through influence rather than mandate.
Founder-level ownership mindset you define the outcome, build the team to deliver it, remove the blockers, and measure everything.

Compensation, Benefits, and Perks

The compensation shown includes Base Salary plus Target Incentives Bonus. In addition, you will receive RSUs. Wolfe is committed to providing a comprehensive benefits package to support your well-being, along with competitive compensation. Our benefits and perks include but not limited to:

Restricted Stock Units (RSUs)
Incentive Bonus
Profit Share
Medical, Prescription, Vision, and Dental insurance for employees and dependents (Wolfe pays 80% of premium)
Short-Term Disability Insurance (Wolfe pays 100% of premium)
Voluntary Long-Term Disability Insurance, Life Insurance, Critical Illness Insurance, Accident Insurance, and Hospital Indemnity coverage
PTO (vacation and sick time)
Corporate Holidays and Floating Holidays
401(k)
Employee recognition program
Charitable Donation to a charity of your choice yearly
Employee Referral Bonus
Tuition Reimbursement
Internal Training and Information sessions
Family Picnic, Holiday Party, and other outings
Internal Culture Club

About Wolfe, LLC

Wolfe, LLC is a pioneering force in e-commerce since 1996 and the gifting industry, deeply rooted in Pittsburgh, Pennsylvania. Driven by our vision "To move humanity to express love for each other through personalized, faster, beautiful, secure, flexible gift giving," we're on a mission to revolutionize the way gifts are given and received. We achieve this through high-quality, fast service, and the same-day delivery of customized gift cards from our on-demand nations only robotic fulfillment center, alongside offering a safe and flexible card-to-card gifting technology.

At the heart of our success are our Core Values: Teamwork, Drive, Integrity, Caring, and Excellence. These principles guide us as we innovate and expand our portfolio with platforms and brands like PerfectGift, Gift Card Granny, GiftYa, Reaf Marketing, and Give InKind, setting new standards in the gifting experience.

Some of the Company and Executive Team Recognitions:
2023 Inc. 5000 list of fastest-growing private companies (ranked no. 382)
2022 - 1st place - Fastest 50 Growing Companies in Pittsburgh, Pittsburgh Business Times
2020 The Best Places to Work, Pittsburgh Business Times
2019 - Winner Carnegie Science Award, Entrepreneur Category
2017 - Winner of Outstanding Entrepreneur, Pittsburgh Venture Capital Association
2015 - Winner of Business Times Diamond Award, Business Ethics Award, Create Award
2015 CEO of the Year, Pittsburgh Technology Council
And more…

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