Talent Engineer

Super Annotate; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Stock options

Professional development

Team events

Referral program

Job summary

Super Annotate is seeking an inaugural Talent Engineer to design and own our AI sourcing engine. You will configure sourcing tools, build end-to-end workflows, and convert them into reliable scaleable systems within our platform.

You’ll optimize screening quality, run high-volume outbound outreach, and build measurable funnel reports. You’ll collaborate with product, operations, and engineering to create tools that recruiters actually use.

Qualifications

• 3+ years in recruiting, sourcing, or recruiting operations
• Experience building automations or workflows used by teams
• Experience running AI sourcing or outreach tools
• Comfort with data: build funnel reports from raw exports or APIs
• Background in AI training data, data annotation, or expert networks
• Global recruiting experience across regions and languages

Responsibilities

• Design and own the AI sourcing engine and choose/configure tools
• Build scalable workflows connecting job platform to sourcing tools
• Own AI-assisted screening prompts, evaluation logic, and quality checks
• Run outbound outreach sequences across email and LinkedIn with A/B testing
• Create real-time funnel reporting on source quality, conversions, time-to-staff, cost
• Reassess talent pools before hiring new candidates
• Collaborate with engineering on API/webhook integrations
• Calibrate search criteria with talent team and maintain candidate privacy compliance
• Document architectures and train team to operate independently
• Ensure automation tools are adopted by the recruiting team

Skills

Systems thinking

Data-driven recruiting

AI tooling proficiency

Scripting (Python/JS)

REST APIs & Webhooks

SQL

High-volume recruitment

Cross-functional collaboration

Experimentation & A/B testing

Privacy & compliance

Education

CS/Engineering or related field

Tools

Juicebox

hireEZ

Gem

n8n

Make

Zapier

Job description

• As our first Talent Engineer, you’ll design and own that engine. You’ll choose and configure the AI sourcing and outreach tools we use, build the workflows that connect them to our platform, and turn them into systems that run reliably at scale
• You’ll approach recruiting as a systems and data problem, building an engine that grows faster than the team running it. You’ll measure what works, cut what doesn’t, and keep improving as our projects evolve
• You’ll work directly with our Director of Product and Operations and the SME Careers talent team, and alongside engineering whenever an integration needs building
• You’ll understand recruiting well enough to know what good outreach and a good candidate look like, and you’ll be technical enough to build the tooling yourself rather than waiting on someone else to
• Own the AI sourcing stack: Configure the AI sourcing and outreach platforms and agents we use, and own their performance once they’re live
• Build workflows that scale: Connect our job platform to sourcing tools so every new role is sourced automatically from day one
• Own screening quality: Build and maintain the prompts, evaluation logic, and quality checks behind AI-assisted screening, so the strongest experts reach a human first
• Run outbound at volume: Design reusable outreach sequences across email and LinkedIn, A/B test messaging and steps, and keep what converts
• Make the funnel measurable: Build reporting that gives real-time visibility into source quality, conversion, time to staff, and cost per active expert, and report it honestly enough to change decisions
• Rediscover talent we already have: Set up workflows that search our existing applicant pool before we spend on new candidates
• Partner with engineering: Scope and build integrations through APIs and webhooks, and work with engineers when a change needs to land in our platform
• Bring recruiting judgment to automation: Calibrate search criteria with the talent team, protect the candidate experience, and keep outreach compliant with privacy rules like GDPR
• Level up the team: Document the architecture and workflows you build, and train the talent team to run and adjust them independently

Benefits

• Health insurance and wellness
• Stock options
• Professional and personal development
• Team Events
• Referral program

Hands-on experience building software with AI coding tools like Claude Code, Cursor, or Codex, beyond chat-based tools like ChatGPT. You’ve shipped working tools or automations this way, not just experimented3+ years in recruiting, sourcing, or recruiting operations, with a working understanding of how sourcing, screening, and outreach fit togetherProgramming or scripting experience, ideally Python or JavaScript, plus SQL, and comfort working with REST APIs, JSON, and webhooksComfort with ambiguity and building a function from scratchExperience recruiting at high volume, especially contractor, freelance, or gig workforcesGood judgment about candidate experience, and the instinct to know when outreach reads as automatedA track record of building automations or workflows that other people rely on and that run without daily hand-holding, with attention to data integrity and long-term maintainabilityYou understand what a recruiter’s day actually looks like, and you build tools a team will actually adoptHands-on experience running AI sourcing or outreach tools, such as Juicebox, hireEZ, Gem, or similar, beyond basic searchesComfort with data: you can build a funnel report from raw exports or an API and explain what it meansExperience building recruiting or HR technology, or working at a company that builds itBackground in AI training data, data annotation, or expert networksExperience with workflow automation tools such as n8n, Make, or ZapierA computer science, data, or engineering background that led into recruiting or people operationsGlobal recruiting experience across multiple regions and languages