SaaS. Data. AI.
Start-ups → Fortune 500s. Responsive search. Strong alignment. Service shaped for your team.
What We Hire
Architecture. Services. Support. Agile delivery. Production fluency.
Software engineering
Full-stack. Backend. Frontend. Mobile. Staff and principal. Product minded.
Data
Data Engineers. Pipelines. ETL / ELT. Data Warehousing. Lakehouse platforms. ML. AI. Analytics. BI.
Platform / DevOps / SRE
Infrastructure. Reliability. Observability. CI/CD. Cloud architecture. Automation.
Leadership
Engineering managers. Directors. Hands-on technical leaders. Product managers. Program/Project managers.
IT & technical support
Help desk. Systems administration. IT operations. Technical support engineering.
How We Reduce Mis-Hires
Constraints first. Stronger hires follow.
Up-front constraints
- Core responsibilities and ownership boundaries
- Must-have skills vs can-learn skills
- Environment: stack, scale, delivery cadence, on-call expectations
High-signal validation
- Evidence of shipping, not just tooling familiarity
- Platform awareness: deployment, failure modes, cost tradeoffs
- Communication patterns that fit your working style
Representative Outcomes
Placed. Proven. Protected.
Startup scaling 2 → 16 engineers (15 months)
Need: transition from founder-driven delivery to stable engineering org.
Outcome: pod-oriented hiring plan + calibration loop; growth without breaking culture; improved delivery velocity.
ML Engineer for a national medtech platform
Need: production-ready ML expertise (not research-only).
Outcome: ML Engineer with shipping + platform awareness; AI-driven features used at scale; stronger competitiveness.
For Employers
Build a team that can deliver.
Flexible by design. Aligned to your goals.
For Candidates
Find where your strengths fit.
Explore roles. Move with clarity.