We are seeking a Technical Delivery expert to join our team in New York City. As a Technical Delivery expert, you will be responsible for owning the technical delivery of Hebbia deployments end-to-end.

Responsibilities

• Own the technical delivery of Hebbia deployments end-to-end: from environment setup and SSO configuration through integration, workflow build, and go-live
• Scope and execute integration projects, including identity/auth setup (SSO, SAML, OAuth), data connectivity, and API-based system integrations
• Design and build customer-specific AI workflows, agents, matrices, and templates that reflect how real teams operate with support from AI Strategists and CoE
• Lead prompt engineering, process engineering, and context engineering to optimize AI outputs for specific client use cases
• Architect AI patchwork solutions that connect Hebbia's capabilities to customer data environments and adjacent tools
• Partner closely with your paired AI Strategist to translate business requirements into working technical systems
• Surface patterns, edge cases, and product feedback to Engineering and Product , you are a first-line signal for what customers actually encounter
• Build repeatable playbooks, deployment templates, and reusable components that improve speed and quality across future deployments
• Document technical configurations, integration patterns, and best practices to grow the team's collective knowledge base

Requirements

• 2-5 years of experience in a technical implementation, solutions engineering, or engineering-adjacent role , you've shipped things in professional settings, not just in side projects
• You have built and deployed LLM-powered workflows in a professional context , prompt engineering, agent frameworks, LLM orchestration, or AI automation are familiar territory
• You've shipped real integrations: you're comfortable with REST APIs, authentication patterns (SSO/SAML/OAuth), and connecting systems that weren't designed to talk to each other
• Strong command of structured data, configuration, and the technical building blocks of modern software stacks
• You can take a loosely defined business problem and produce a working, production-quality solution with limited hand-holding
• Clear, confident communicator , you can explain a technical architecture to a client's IT team in the morning and walk their end users through a workflow in the afternoon
• High ownership orientation , you treat your accounts like they're yours, follow through completely, and don't drop threads
• Thrives in ambiguity and moves with urgency in a fast-moving, high-expectations environment

Compensation

The salary range for this role is $120,000 - $200,000 + competitive equity.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

As the Principal Product Manager for Login, you will own the front door for hundreds of millions of users accessing thousands of global products and services. The Login team at Auth0 provides highly secure, customizable, and performant hosted login authentication, enabling billions of successful logins for end-users around the world.

This is a high-impact, high-visibility role. You will be responsible for defining the future of the hosted login experience,defining secure-by-design authentication flows that empower customers to offer the low-friction UX that modern brands demand.

We need an experienced, technical product manager to direct the evolution of Universal Login and supporting capabilities to yield measurable business outcomes. The Principal Product Manager in this role will translate high-level, strategic direction into actionable requirements and user stories.

Must Have:

• Developer awareness/experience
• Familiarity with Identity, Login and Multi-Factor Authentication patterns, products, and concepts
• Leadership qualities
• Strong desire to learn

Nice To Have:

• Experience implementing CIC/Auth0
• Previous employment in identity, security, or adjacent companies

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $220,000-$302,500 USD

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Your 下 responsibilities will include:

• Owning the agentic tools platform, including the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed.
• Balancing the tension between enabling rapid tool development and maintaining the reliability that production agents demand.
• Architecting integration strategy, including determining which integrations unlock disproportionate value, negotiating technical partnerships, and defining the abstraction layers that make integrations composable rather than brittle.
• Driving agentic execution excellence, including partnering with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient.
• Enabling internal tool development, including building the developer experience,documentation, templates, testing frameworks, deployment pipelines,that lets teams ship new tools without deep platform expertise.

In this role, you will be working at the forefront of agentic technology, evaluating innovations and determining which advances warrant immediate adoption versus patient observation. You will also be responsible for navigating the agentic frontier, including bringing external best practices to ZoomInfo while contributing learnings back to the community.

To be successful in this role, you will need to have a strong background in product management, with 6-15 years of experience in AI/ML infrastructure, developer platforms, or integration products. You should also have direct experience with production agentic systems, hands-on familiarity with agentic frameworks, and a track record of building platform products where engineering teams are your customers.

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You will embed directly with our strategic accounts, large enterprises with complex data needs, often in financial services, insurance, and other regulated industries. You will work alongside their teams to understand their go-to-market challenges, then design and deliver bespoke intelligence applications that combine our third-party data with the customer's first-party data to drive real business outcomes.

You will own the engagement end-to-end: from discovery through deployment, from executive presentation through production code. You will work closely with our data and product teams to bring the full breadth of our data foundation to bear , company intelligence, contact data, buying signals, intent data, and specialized vertical datasets , assembled into purpose-built applications tailored to each customer's specific personas and workflows.

You will have access to incredible data, powerful infrastructure, and our most important customer relationships. What you build with them , and how you build it , will define the model going forward.

Responsibilities:

• Build the FDE Playbook
• Document what works: onboarding sequences, deployment patterns, integration frameworks, success metrics
• Feed field learnings back to product, engineering, and data teams to inform product direction and dataset priorities
• Own Strategic Customer Engagements End-to-End
• Serve as the primary technical point of contact for assigned strategic accounts
• Run discovery sessions, scope use cases, design solutions, build applications, and deploy them in the customer's environment
• You own the outcome , not just the delivery
• Deliver Custom Intelligence Applications
• Build bespoke 'single pane of glass' applications that unify our data with the customer's proprietary data
• These are purpose-built for specific personas and workflows , not configured off-the-shelf products
• Bridge Technical and Business Audiences
• Sit with the sales team
• Present to executive leadership
• Synthesize complex go-to-market data needs into clear, actionable proposals , then deliver the solution
• You're equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CRO
• Drive Stickiness and Expansion
• Every application you build makes our data more deeply embedded in the customer's daily workflows
• Identify expansion opportunities as they emerge , new use cases, new personas, new datasets

Requirements:

• High Ownership, High Ambiguity Tolerance
• This role doesn't exist yet at ZoomInfo. You take ownership of outcomes , not tasks , and you're comfortable making judgment calls with incomplete information, building process where there is none, and figuring things out as you go
• Strong Software Engineering Fundamentals
• You write production-quality code
• You're proficient in Python, SQL, and modern web frameworks
• You're comfortable with APIs, data pipelines, cloud platforms (AWS, GCP, or Azure), and building applications that real users depend on daily
• Familiarity with API tooling , GraphQL, REST, Postman, authentication patterns (JWT, OAuth) , is a plus; deep expertise isn't required, but you should be comfortable navigating and integrating against APIs quickly
• You work fluently in LLM-based development environments like Claude Code or Codex , these are core tools in how we build, not a nice-to-have
• Customer-Facing Communication
• You've worked directly with customers in a technical capacity , solutions engineering, consulting, technical account management, or a previous FDE role
• You can synthesize complex data needs for an executive audience and discuss architecture with an engineering team in the same meeting
• You're comfortable navigating enterprise environments with competing stakeholders and priorities
• Go-to-Market Data Familiarity (Preferred)
• Experience working with B2B data, CRM systems, sales/marketing tech stacks, or similar go-to-market infrastructure
• You understand what it means to operationalize data in a revenue context

Why This Role

• The mandate is clear. Driving data consumption and growth across ZoomInfo's strategic accounts is a top company priority
• We already have working prototypes, validated customer demand, and executive sponsorship
• The data team, product team, and infrastructure are in place
• What's needed is the person who executes
• Enterprise customer access. ZoomInfo's customer base includes market-leading GTM organizations at some of the largest enterprises in the world
• You'll be embedded with these teams, solving real problems with meaningful budgets and complex data needs
• Best-in-class data and infrastructure. ZoomInfo's data foundation, GTM Data Store, query infrastructure, and vertical dataset catalog give you the raw materials to build custom intelligence applications that aren't possible anywhere else

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