People Culture Talent

Affiliate Manager

• Lead full-cycle technical searches across Engineering and adjacent functions for clients
• Partner with founders and VP-level leaders to qualify roles and align on hiring criteria
• Conduct deep talent mapping and competitive analysis
• Create innovative sourcing strategies for diverse, high-quality candidate pipelines
• Screen and evaluate senior+ technical talent
• Track pipeline health and communicate clearly with clients
• Collaborate with Technical Sourcers to align on strategy

Technical Talent Partner

Business Development Rep

• Partner with Business Development leadership to support and expand relationships with leading global model labs
• Design and execute targeted outreach campaigns aligned with model release cycles, evaluation launches, and new product introductions
• Coordinate engagement across research, engineering, and operational stakeholders within lab accounts
• Support lab-facing events, co-marketing initiatives, and release campaigns to strengthen ecosystem relationships
• Maintain operational oversight across accounts by supporting usage tracking, renewal preparation, and CRM hygiene
• Identify and prospect high-value organizations seeking model evaluation capabilities
• Manage and qualify inbound interest, routing opportunities to Business Development leadership
• Coordinate meeting logistics, including scheduling, preparation materials, and follow-up communication
• Support early-stage deal discovery and qualification, and potentially manage smaller partnership opportunities if prior closing experience exists
• Work closely with Product, Delivery, and Marketing teams to align messaging with technical capabilities and product offerings
• Document and synthesize customer feedback and market signals to help inform product roadmap and go-to-market strategy
• Contribute to improving outbound systems, campaign experimentation, and lead tracking processes

Business Development Associate

Social Media Manager

• Write, schedule, and manage high-quality content for X and LinkedIn, tailored to each platform’s audience and strengths.
• Translate technical updates, product launches, and AI trends into engaging, accessible, and shareable posts.
• Maintain and manage a forward-looking content calendar aligned with product milestones, community activity, and key AI industry events.
• Develop and execute platform-specific growth strategies to expand the organization’s presence across current and emerging channels.
• Drive increases in followers, reach, and engagement through experimentation, iteration, and trend awareness.
• Identify opportunities for growth through content experimentation and real-time cultural awareness.
• Track and analyze key performance metrics to inform content strategy, tone, and posting cadence.
• Partner with product and engineering teams to amplify launches and communicate product updates.
• Surface meaningful community activity and insights to internal teams.
• Align social content with broader product milestones and community initiatives.

Social Media Lead

Security Engineer

• Own the product security vision, ensuring security and trust are core to every stage of the product lifecycle.
• Design and implement platform-wide security features, including Sybil resistance, bot detection, reputation systems, and anti-abuse primitives.
• Lead threat modeling and security architecture reviews for new and existing product features.
• Collaborate with infrastructure and product engineering to design secure APIs, data flows, and identity systems that scale.
• Improve developer velocity by creating secure-by-default frameworks and tooling for internal teams.
• Partner with incident response to quickly assess, contain, and remediate security events, and lead deep postmortems to improve defenses.
• Stay ahead of the curve by monitoring emerging attack techniques and applying cutting-edge security research to our platform.
• Mentor engineers across the company on secure coding practices, architecture trade-offs, and operational security.

Security Engineer – Lead

• Serve as the primary business lead for top global model labs, managing relationships across research, engineering, and procurement stakeholders
• Expand revenue across multiple evaluation modalities (text, code, vision, multimodal, auto-eval) by aligning evaluation programs with customer training and research roadmaps
• Identify and close strategic enterprise opportunities with organizations seeking to evaluate internal or third-party AI models (e.g., large technology and enterprise software companies)
• Negotiate co-release and marketing rights within major partnerships to strengthen the platform’s market presence and industry mindshare
• Own the full lifecycle of customer relationships, including renewals, expansions, and upsells, while maintaining forward visibility into multi-quarter revenue commitments
• Maintain rigorous pipeline management and revenue forecasting aligned with delivery schedules, consumption pacing, and renewal cycles
• Structure complex enterprise deals that balance predictable contracted revenue with flexible usage-based pricing models
• Partner with product, delivery, and finance teams to ensure evaluation capacity, quality, and delivery timelines meet customer expectations
• Support go-to-market strategy for new evaluation and data products, driving adoption across both existing accounts and new strategic relationships

Business Development Lead

Data Scientist

• Design, implement, and analyze A/B tests, multi-armed bandits, and quasi-experimental methods to measure the impact of product changes.
• Apply causal inference techniques (e.g., difference-in-differences, propensity score matching, synthetic control, regression discontinuity) to estimate treatment effects in non-randomized settings.
• Collaborate with product, engineering, and marketing teams to define hypotheses, success metrics, and statistical power requirements.
• Ensure rigorous statistical validity (e.g., controlling for biases, multiple testing corrections, confidence intervals).
• Develop and refine retention measurement frameworks (e.g., cohort analysis, survival analysis, churn prediction).
• Define and track core engagement metrics (DAU, WAU, MAU, rolling retention, N-day retention) and diagnose trends.
• Identify key drivers of retention through segmentation, funnel analysis, and predictive modeling.
• Work with growth teams to optimize onboarding, engagement loops, and monetization strategies.
• Build and maintain scalable data pipelines (using PySpark, SQL, or big data tools) to process and analyze large datasets.
• Develop automated dashboards and reports (e.g., Tableau, Looker, Metabase) to monitor experiment performance and retention trends.
• Ensure data quality and consistency in metric definitions across teams.
• Optimize queries and computations for performance and cost efficiency in distributed systems (e.g., Databricks, AWS EMR, GCP BigQuery).
• Partner with product managers, engineers, and marketers to translate business questions into data-driven analyses.
• Present findings and recommendations to executive stakeholders in clear, actionable formats.
• Mentor junior data scientists and analysts on best practices in experimentation and retention analytics.

People Operations

• Manage end-to-end implementations of integrated people and talent systems
• Guide clients through strategic tool selection
• Execute seamless implementations establishing scalable foundations for growth
• Help clients understand which tools to adopt and how to build people operations infrastructure

People & Talent Systems Specialist

Technical Recruiter

• Find technical professionals using LinkedIn, GitHub, and Stack Overflow
• Build diverse candidate pools through multi-channel sourcing
• Write engaging messages and conduct initial candidate conversations
• Maintain detailed candidate databases and engagement history
• Conduct brief screening calls to assess qualifications
• Collaborate with recruiters to build inclusive teams.