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Minerva

AI-driven customer behavior modeling platform

Founding Customer Success Engineer

Full-TimePosted on 10/24/2026
$149k - $189k/yr+ Equity
Mid
New York, NY, USA
In PersonIn-person from the office in Williamsburg, Brooklyn; candidates must be in New York City or willing to relocate.
Customer Experience & SupportCustomer Support
H1B Sponsorship Available

About the job

Requirements
  • At least 3 years of experience in customer success engineering, technical support, solutions, or a technical account role; experience at a data, marketing technology, advertising technology, or developer-tools company is preferred.
  • SQL proficiency and comfort with APIs, including the ability to read a schema and determine why a result is incorrect.
  • Ability to diagnose problems independently rather than immediately escalating them, with an example of resolving a difficult issue.
  • Clear writing skills and experience creating documentation or a knowledge base that customers use.
  • Must be located in New York City or willing to relocate.
Responsibilities
  • Run Pylon and shared customer channels, including triage, response times, and initial review of incoming issues.
  • Reproduce and diagnose issues, solve them when possible, and provide engineering with a diagnosis and reproduction when escalation is needed.
  • Build and maintain a knowledge base of articles, how-to guides, and short videos covering features, limitations, API usage, audience building, and campaign briefs.
  • Own and improve the new-customer self-serve path from first login to first result.
  • Identify recurring customer questions, rank them by frequency, and share them with product so underlying friction can be fixed in the platform.
  • Create escalation paths, response standards, and onboarding checklists for the future customer success function.
  • Track the share of questions resolved without engineering, repeat-question rate, and time to first result for self-serve customers.
Desired Qualifications
  • Publicly available technical documentation the candidate has written.
  • Experience using Pylon, Intercom, Zendesk, or a similar support platform.
  • Experience with identity resolution, customer data platforms, match rates, or marketing data.
  • Experience making short product explainer videos.

About the company

Minerva provides an AI-powered platform for go-to-market teams to understand and predict customer behavior, surfacing propensities and triggers to improve sales, segmentation, and personalization. It blends a client's data with Minerva's high-fidelity consumer data in a privacy-conscious way and builds custom predictive models with client collaboration. These models run in real time and are delivered via APIs and data feeds that integrate with CRMs, marketing tools, and data warehouses. Minerva differentiates itself through client-involved model development, granular customer context, and seamless integrations across industries like real estate, sports, hospitality, and wealth management, with the goal of making consumer behavior observable, predictable, and actionable.

Company Size

11-50

Company Stage

Early VC

Total Funding

$20M

Headquarters

New York City, New York

Founded

2023

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Simplify's Take

What believers are saying

  • Minerva launched publicly on June 9, 2026 with $20 million from top investors.
  • Early deployments delivered 3.4x paid-media ROAS and 2.5x direct-mail MQL lifts.
  • Updated September 2026 customer pages show NBA, Luxury Presence, Juicebox, and Honey Homes.

What critics are saying

  • Minerva's OpenAI dependency concentrates product leverage inside a partner that can change pricing.
  • Limited-access launch and self-serve buildout signal heavy onboarding friction through 2026.
  • Sports, hospitality, and finance concentration leaves revenue exposed if NBA relationships stall.

What makes Minerva unique

  • OpenAI partnership powers Agentic Data Engineer and Scientist, compressing weeks of work into hours.
  • Proprietary identity graph and 1,000-plus attributes give Minerva richer context than first-party data alone.
  • Customers like NBA, Wander, and Trust & Will validate cross-vertical applicability.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Company Equity
  • Relocation Assistance
  • Performance Bonus

Growth & Insights and Company News

6 month growth

-4%

1 year growth

0%

2 year growth

0%
Business Wire
Jun 9th, 2026
Minerva launches AI platform for consumer marketing with $20M from The General Partnership, 8VC, Lingotto Innovation, Topology Ventures and NBA Investments, alongside OpenAI collaboration.

Minerva launches AI platform for consumer marketing with $20M from The General Partnership, 8VC, Lingotto Innovation, Topology Ventures and NBA Investments, alongside OpenAI collaboration. Built for CMOs and marketing teams, Minerva uses AI agents to turn customer data into faster decisions, stronger campaigns and measurable growth. BROOKLYN, N.Y.-(BUSINESS WIRE)-Minerva, an AI platform for consumer marketing leaders, today launched publicly with $20 million in funding from The General Partnership, 8VC, Lingotto Innovation, Topology Ventures, NBA Investments and others, alongside a collaboration with OpenAI. Minerva allows brands to unify fragmented first-party data, enrich it with proprietary consumer context, and run end-to-end marketing workflows with AI agents within 24 hours. Brands have incredible first-party customer data, but its value is often capped by fragmentation and a lack of external context. Minerva turns that data into AI-ready context that helps brands win customers at every stage of the funnel. Within 24 hours of onboarding, Minerva's platform allows marketers to: * Unify and unlock their brand's first-party customer data using Minerva's Agentic Data Engineer * Enrich customer data with Minerva's proprietary identity graph and more than 1,000 attributes * Create, analyze and optimize campaigns that win customers at scale * Measure performance and generate detailed reports on campaign performance Minerva was founded by Jackson Engles, Daniel Saedi and Matthew Joseph, who met at Berkeley and began their careers in finance at Lazard, Bridgewater and Citadel, respectively. The company grew out of Saedi and Joseph's work using alternative data to trade markets, where they saw firsthand both the commercial power of consumer data and the difficulty of turning fragmented, inconsistent datasets into reliable insight. They started Minerva to help companies use AI to better understand, engage and acquire customers, freeing marketers from operational work so they can focus on telling the story of their brand. Turning fragmented customer data into usable context delivers real results. In early deployments, Minerva has helped brands improve paid media ROAS by 3.4x and direct mail MQL rates 2.5x by rebuilding how they use customer data to acquire customers. Minerva has already signed three dozen customers, including the NBA, Juicebox, Luxury Presence, Trust & Will and Wander. Minerva also works with the NBA to identify opportunities to help teams deepen fan engagement. With OpenAI, Minerva has also created two workstreams using frontier models like GPT-5.5: an Agentic Data Engineer and an Agentic Data Scientist. - The Agentic Data Engineer collapses weeks of human data engineering work into hours by profiling and understanding the structure of a customer's first-party data, writing transformation SQL and validating the output - The Agentic Data Scientist allows marketers with no machine learning experience to use natural language prompts, such as "find users likely to book a luxury property in the next 30 days," to generate, validate and deploy predictive models on demand The company was founded on the belief that a deeper, more accurate understanding of consumer behavior will become increasingly valuable in an AI-native world. As AI agents and workflows become more capable, the limiting factor for marketing teams is no longer access to models alone, but the quality and structure of the context those models can act on. "Marketing teams are under pressure to deliver better outcomes with more complexity, more channels and more data than ever before," said Jackson Engles, co-founder and CEO of Minerva. "Minerva gives marketers the context and infrastructure to understand their customers more deeply and act on those insights faster. Our goal is to give repetitive, operational work to AI so our customers can spend more time on the work that requires real human judgment." Minerva's platform is built for CMOs and marketing teams that want to move beyond manual data work, fragmented measurement and campaign optimization processes that require constant human oversight. Instead of managing each step, teams set the objective and Minerva's agents carry it out, shifting marketers from executing the work to directing it. "AI agents are context-hungry, and whoever structures the right context for a domain wins that domain," said Phin Barnes, co-founder and Managing Partner at The General Partnership. "Minerva is building the context layer for marketing. Most brands have valuable first-party data, but it's fragmented and hard to use. Minerva turns that data into something AI can actually reason over, so then marketers can act on it." The new capital will be used to expand Minerva's engineering, research and go-to-market teams, build out the company's self-serve platform and expand beyond its initial focus areas in sports, hospitality and financial services into broader consumer categories. About Minerva Minerva builds AI for marketing leaders. The company helps brands unify and standardize their first-party data, enrich it with proprietary consumer context and use AI to create, analyze and optimize campaigns at scale. Minerva works with leading consumer brands and organizations across sports, hospitality, financial services, real estate, travel and other consumer categories. Contacts. The General Partnership Taylor Majewski [email protected] Minerva. Release Versions The General Partnership Taylor Majewski [email protected]