SkillBench: Pioneering the Future of Work with AI

SkillBench is building a privacy-first telemetry and insight platform for AI-native software development. Our platform measures turn-by-turn developer workflow signals and human–AI attribution to deliver anonymized, auditable insights and practical recommendations.

AI coding assistants are rapidly changing how software gets built. Tools like Claude Code, Cursor, and GitHub Copilot aren’t just speeding up coding—they’re reshaping how engineers plan, implement, verify, and learn. Adoption is accelerating, leadership is demanding ROI, and teams are making big bets under uncertainty. But AI doesn’t just increase output: it changes developer workflows and the skills being reinforced over time. Today, most teams can’t confidently tell whether AI adoption is compounding advantage—or creating risk that only becomes visible months later.

SkillBench makes this measurable, actionable, and auditable—without surveillance. We’re also building a predictive layer that turns telemetry into org design implications: where capability is compounding vs. eroding, what interventions to run, and how to steer AI adoption responsibly over time.

We’re a research-driven team of ~10 engineers and researchers across Korea, Taiwan, and California, with strategic business and research collaborations with top global firms. We’re targeting product v1 in Q1 2026.

Why Join Us

• Make a real impact: Our work shapes both the future of work and AI-enhanced productivity and growth. Our collaborators include top AI and work management companies in Silicon Valley, and our early traction includes leading global companies waiting to implement our solutions.
• Join an awesome team: Founded by Matt Beane and Juho Kim, with pre-seed funding from top investors in the U.S. and South Korea. Join a tight-knit, global team of experts in AI, Human-Computer Interaction, and management.
• Drive Research-Backed Innovation: We bridge the gap between academic research and real-world impact. Our academic roots fuel our curiosity, while our product focus keeps us grounded in practical solutions. You’ll have the unique opportunity to apply cutting-edge research directly to product development. We’re not just building a product; we’re advancing the science behind it.
• Grow rapidly: Our vision to achieve productivity and skill growth simultaneously starts within our team. Experience unparalleled personal and professional growth in a fast-paced, evolving domain.

Our Core Values

• Learning and Growth: We champion continuous learning and personal growth, mirroring our product’s mission to enhance human skills in the AI era. We actively seek opportunities to expand our knowledge, challenge our assumptions, and learn from each other.
• Global Synergy: We thrive on diverse perspectives and foster clear, empathetic communication across time zones and cultures. Our globally distributed team is our strength, driving innovation through collaboration.
• Proactive Ownership: We encourage everyone to take initiative, own their work, and drive projects forward. Self-motivation and a can-do attitude are at the heart of our culture.
• Human-Centric AI Innovation: In all our AI endeavors, we prioritize the human element. We strive to create technology that enhances human capabilities, respects individual dignity, and promotes positive societal impact.

We’re Looking For

Exceptional Engineers Who are:

• Passionate about pushing the boundaries of AI and its application in enterprise settings
• Excited to take on and solve complex technical challenges, from building a scalable task analysis engine to making AI-powered interfaces to designing human-AI collaboration workflows
• Motivated to shape the future of work and leave a lasting impact on how organizations operate

Work Environment:

• Fully Remote: Our positions are fully remote. We’re primarily seeking candidates based in the U.S. or South Korea, but we’re open to discussing options for working from other countries. We’ve built our processes and culture around effective remote collaboration.
• Flexible Office Support: While we’re primarily remote, we understand that some team members may prefer or occasionally need a shared workspace. We support access to co-working spaces or shared offices in your location.
• Team Offsites: We believe in the power of face-to-face interactions to build stronger bonds and spark innovation. We organize team offsites 1-2 times a year, bringing the whole team together for collaboration, strategic planning, and team building.
• Competitive Compensation: We’re serious about attracting the best talent. Our compensation packages are designed to attract and retain top talents. We offer substantial base salaries, generous equity options, and a comprehensive benefits package.

If you’re a top-tier talent ready to take on one of the most significant challenges in today’s AI landscape, we’d love to chat. Interested? Please send your resume with a position of interest to: work@skillbench.com

Please reach out if you’d like to learn more about us or chat about AI and work, even if we’re not hiring for your skillsets or if you’re not looking for a position at the moment.

Equal Opportunity:

SkillBench is an equal opportunity employer and welcomes applicants from diverse backgrounds.

Title

Staff Backend Engineer — Production Platform (Tech Lead)
(Early / Core Engineering Team)

Role overview — why this matters

We’re seeking a Staff Backend Engineer — Production Platform (Tech Lead) to lead productionization for our upcoming launches and key product iterations, and own SkillBench’s technical and architectural direction as we scale.

This is a high-leverage role combining hands-on engineering (productionizing analytics/telemetry and services) with long-term architecture ownership. You will set standards, lead complex architectural decisions, guide security and compliance strategy, and mentor the engineering team.

We strongly prefer candidates who are excited about building developer tools and AI-enabled engineering workflows—especially involving modern coding assistants such as Claude Code, Cursor, and GitHub Copilot.

What you’ll own — short & long term

Short-term (upcoming launches)

• Produce the production architecture and spec (DFDs, data & API contracts)
• Productionize backend analytics pipelines and assessment/snapshot flows
• Review, validate, and accept vendor IaC
• Implement CI/CD and staging deployments
• Establish observability, SLOs, dashboards, alerting, and runbooks

Long-term (technical leadership)

• Define and evolve the platform architecture
• Set engineering standards (ADRs, testing strategy, GitOps)
• Ensure architecture and engineering practices align with internal security and compliance requirements
• Plan for scalable, multi-tenant services and inference patterns
• Mentor engineers across the org and run architecture reviews
• Lead cross-functional technical decisions and coordinate with Product, Metrics/ML, and external vendors to ensure high-quality handovers

Key responsibilities

• Translate PRDs & research into production-ready architectures and acceptance criteria
• Implement robust batch and/or streaming systems for computing per-task metrics (idempotency, retries, orchestration)
• Review and accept vendor IaC, ensure staging/CI parity and production readiness
• Establish observability, SLOs, dashboards & alerting; author incident runbooks
• Support security and compliance initiatives by validating technical controls, including pen-test remediation
• Mentor and up-skill mid-level engineers; run architecture reviews and enforce ADRs
• Drive long-term technical roadmap and platform decisions

Must-have qualifications

• 7+ years production backend engineering experience (distributed systems, batch and/or streaming)
• Proven track record of productionizing analytics, telemetry, or ML pipelines into reliable services
• Hands-on IaC & CI/CD skills (Terraform/Helm/GitOps or equivalent)
• Strong observability & SLO experience (Prometheus/Grafana/Tempo or equivalents)
• Experience coordinating security/compliance work or managing pen-test remediation
• Demonstrated leadership in architectural decision-making and mentoring
• Experience in B2B SaaS + AI product development (product + enterprise context)
• Able to overlap Korea/Taiwan working hours; occasional West Coast overlap helpful

Nice-to-haves

• Experience working with sensitive enterprise data (finance, healthcare, regulated domains)
• MLOps / Spark / Databricks / GPU inference experience
• Familiarity with telemetry stacks (Loki/Elastic/S3) or time-series systems
• Prior enterprise / regulated market experience
• Experience building developer tools, or designing AI-enabled workflows for engineers (especially involving Claude Code, Cursor, or GitHub Copilot)

What we offer

• A critical technical leadership role with substantial equity and high ownership
• Competitive compensation (base + equity)
• Full-time role by default (contract-to-perm also possible)
• Fully remote culture; engineering team spans Korea, Taiwan, and the U.S. West Coast — we coordinate globally and hold periodic offsites
• A research-grounded product with strong traction and an ambitious v1 timeline (Q1 2026)

How to apply

Send your resume or LinkedIn profile + 1–2 bullets on a project where you took a prototype/analytics system into production (bonus if it involved strict data governance) to:

work@skillbench.com (Subject: Production Platform TL)