Engineering manager
Quick Summary
About Fulcrum: We’re a team of tech-savvy, creative & passionate IT professionals. We’ve created a vibrant and performance-driven culture for ourselves where everyone is free to think & act outside the box.
Delivery & process control monitor overall health of AI projects (velocity, quality, blockers, timelines) and intervene early when needed review and approve key deliverables (architecture, APIs, security, DB, deployment) define and enforce…
About Fulcrum: We’re a team of tech-savvy, creative & passionate IT professionals. We’ve created a vibrant and performance-driven culture for ourselves where everyone is free to think & act outside the box. There are literally no limits to what you can do here, as long as we WOW our clients and OVER deliver what we promise.
We are now looking for an Engineering manager to join our team
Core mission of the role is to be the quality and process backbone for all Product Tech teams at Fulcrum. Ensure every team follows best practices, delivers on schedule, adopts AI-powered workflows, and maintains engineering excellence — without micromanaging day-to-day execution.
Responsibilities
~1 min readmonitor overall health of AI projects (velocity, quality, blockers, timelines) and intervene early when needed
review and approve key deliverables (architecture, APIs, security, DB, deployment)
define and enforce engineering processes (code reviews, CI/CD, testing, documentation, AI tooling)
approve presale development plans (architecture, stack, team, estimates)
approve discovery setup (processes, cadence, risks, tooling, acceptance criteria)
establish and maintain cross-project engineering standards
drive adoption of AI dev tools and measure impact (Claude, Codex, agents)
evaluate new AI requirements (feasibility, effort, risks, approach)
identify and внедряти AI-driven process improvements (automation, testing, monitoring, docs)
oversee custom agent development (quality, value, best practices)
track and evaluate new AI/ML technologies, maintain internal knowledge base
lead internal AI education (workshops, materials, onboarding)
support engineer growth via feedback and skill gap identification
participate in hiring and technical assessments for AI roles
run mentorship initiatives for AI skill development
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 6, 2026
Signal breakdown
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