Conduct talent market research and build talent maps for engineering roles; write conviction packets on candidates; identify passive technical talent; structure talent-flow and comp data; advise hiring leaders and contribute to sourcing frameworks and playbooks.
Wealthfront is looking for a Talent Intelligence Analyst to support hiring across Wealthfront, with a specific focus on our engineering organization. You'll work closely with executive partners across the company.
At Wealthfront we ask a lot from hiring managers, who often own the candidate engagement, starting with outreach and continuing throughout the hiring process. This role will help to build a strong conviction in the companies, teams, profiles and individuals the hiring teams are offering their time to. The right hire will be focused on efficiency, not volume.
A successful hire on this team will be comfortable forming a view before they have complete information, and equally comfortable revising it. They will be energized by getting fluent in technical domains, they write clearly under deadline, and they'd rather be specific and occasionally wrong than vague and unfalsifiable. They're strong cross-functional partners who understand a total addressable market and can focus hiring managers on who specifically to target as well as what to avoid. Success will require research rigor, clear writing, and sound judgment.
Responsibilities
- Build and maintain talent maps for key functions—which companies, teams, and products actually produce the profile we need, and which present as adjacent but in reality are not
- Write conviction packets for the candidates you advance: what they've built, the evidence behind it, the specific risks, and what an interview would need to resolve
- Make and defend the negative call — we care as much about who you screened out and why as who you passed forward
- Help leaders better frame roles and requirements based on talent market insights
- Identify passive candidates through technical communities, conference talks, open source contributions, and published work — not just search results
- Pull and structure the underlying data: talent flows between competitors, team growth signals, comp and title benchmarks, where a given skill set is concentrated
- Contribute to the team's frameworks, templates, and sourcing playbooks
Qualifications
- 2+ years producing written analyses that someone acted on — executive search research, talent intelligence, technical sourcing, equity research, consulting, or a similar analytical role. Reps with focused research is more critical than recruiting experience.
- A systems thinking orientation with the ability to analyze discrete decisions and their downstream consequences.
- An ability to take messy inputs and shape them into a clear, concise output.
- Ability to read a technical background and find the signal: a GitHub history, a conference talk, an engineering blog post, a promotion trajectory.
- Strong written communication, with a habit of writing with high specificity.
- Comfortable calibrating with senior leaders: clearly stating how confident you are and what evidence would change it.
- Willingness to disagree constructively, including with a hiring partner who likes a candidate you don’t.
- Bachelor's or Master’s Degree
Estimated annual salary range: $110,000 - $140,000 USD plus equity and a discretionary bonus
Plus comprehensive benefits including medical, dental, and vision coverage, a 401(k) with company match, an Employee Stock Purchase Plan (ESPP), generous time off, parental leave, wellness reimbursements, professional development, an employee investing discount, and more!
Similar Jobs
Cloud • Information Technology • Machine Learning
Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.
Top Skills:
Computer NetworkingCpuData Center InfrastructureGpuHardware/Software IntegrationInfrastructure AutomationServer ProvisioningSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and deploy production-grade AI agents, assistants, models, and reusable skills. Develop secure agentic workflows with guardrails, isolation, and controls; integrate frameworks, tools, APIs, cloud services, and models; establish rigorous evaluation metrics for quality, safety, and reliability; rapidly prototype solutions and partner with engineering to harden them for production. Document solutions and contribute to AI Center of Excellence consulting and best practices.
Top Skills:
AWSAzureClaude SdkDockerGCPGoogle Ai SdkKubernetesOpenai SdkPythonSkill.Md
Artificial Intelligence • Information Technology • Software
Coordinate recruiting operations across interview scheduling, ATS management, agency tracking, job postings, candidate communications, recruiting files, reports, events, and travel logistics. Maintain accurate Ashby data and recruiting documentation while supporting recruiters and hiring managers. The role also contributes to sourcing, candidate outreach, job description updates, and broader recruiting process improvements in an early-stage startup.
Top Skills:
AshbyGoogle DriveGoogle WorkspaceLinkedIn
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
