Hire Engineering Managers remotely from our vetted global talent

An engineering manager owns the output of a team of 4 to 12 engineers through people, process, and technical judgment, without writing the production code themselves. The role sits at the intersection of product, design, and engineering, and it exists because once a team crosses the threshold where one tech lead cannot hold the roadmap, the people, and the architecture in their head at the same time, the work has to split. At Terminal, engineering management hires are the leaders product organizations reach for when the team's friction has stopped being technical and started being organizational.

People management: The first responsibility, and the one the role is measured on.

• Weekly 1:1s that surface blockers before they show up in sprint reviews

• Performance feedback delivered in the moment, not saved for the cycle

• Career growth conversations grounded in the company's leveling rubric, not adjectives

• Performance management, including the hard conversations and the paper trail that has to support them

Process design: The operating system the team runs on.

• Sprint planning, standups, and retros sized to the team, not the framework defaults

• On-call rotations and incident response runbooks that the team trusts

• Roadmap planning cadence that connects executive priorities to the engineer's daily queue

• The discipline to kill a ceremony when it stops earning its place on the calendar

Technical judgment without IC contribution: The bar that separates an engineering manager from a project manager.

• Architecture review participation where the EM evaluates trade-offs without dictating the design

• Reading the proposal from a senior engineer and asking the right second-order question

• Tech-debt prioritization that survives a quarter of product pressure

• Knowing when to defer to the team's technical lead and when to push back on the consensus

Cross-functional partnership: Most of the EM's leverage lives outside the engineering org.

• Product partnership on scope, sequencing, and the negotiation between depth and breadth

• Design partnership on what is buildable inside the timeline and where the design fights the platform

• Sales and customer success partnership on commitments the team can actually keep

• Executive communication that translates engineering reality into business language without losing either

Hiring and team building: The compounding investment in the team's future output.

• Interview rubrics calibrated against the company's leveling guide, not the interviewer's mood

• Onboarding programs that get a new hire to first shipped pull request in days, not weeks

• Team composition decisions: when to hire senior, when to hire mid, when to grow internally

• Retention work that starts the day the offer is signed, not the day the engineer gives notice

AI Fluency for managers: The 2026 capability shift that the EM has to lead, not observe.

• Working understanding of agentic AI workflows, including Claude Code, Cursor, and the orchestration patterns the team uses

• Hiring rubrics that include AI Fluency tier as a signal, not a checkbox

• Performance reviews that account for AI tool leverage, not lines of code or pull request count

• Capacity planning that reflects the 2 to 3 times faster delivery AI-augmented engineers ship at

The case for an engineering manager is almost always an organizational-friction argument. When a team crosses the threshold where coordination cost, hiring velocity, and cross-functional alignment start dominating the work the senior engineers should be doing, hiring a dedicated leader becomes the highest-leverage move on the roadmap. The case against shows up when the friction is still technical, not organizational.

Team size has outgrown the tech lead: Anywhere a senior engineer's IC time is being eaten by management overhead.

• Teams of 5 or more engineers where the tech lead is no longer shipping serious code

• Pods where 1:1s, performance management, and hiring are getting deferred to make room for sprint work

• Cross-functional meetings outnumber engineering reviews on the senior engineer's calendar

• Promotion cycles, calibration, and headcount planning that have started missing deadlines

Hiring velocity is the bottleneck: When the team's growth plan needs a leader who runs the loop end to end.

• Plans to scale from 5 to 12 engineers inside a fiscal year without dropping bar

• Pipelines that need an owner who can run interview loops while the team keeps shipping

• Leveling and offer calibration that has to stay consistent across regions and seniority

• Onboarding programs that need a process owner, not a volunteer rotation

Cross-functional alignment is breaking down: When the team's output is gated by misalignment, not engineering capacity.

• Product, design, and engineering operating on different roadmap assumptions

• Executive escalations landing on senior engineers because no one else owns the relationship

• Customer commitments being made without engineering sign-off on feasibility

• Quarterly planning that turns into a renegotiation every two weeks

AI Fluency multiplier: Agentic AI workflows have changed how teams ship, and the manager is the one who has to make the new operating model work.

• Teams where AI-augmented engineers ship 2 to 3 times faster need a manager who can plan capacity at the new pace, not the old one

• The EM who does not understand agentic workflows cannot evaluate engineer output, level a hire, or coach an AI-resistant senior

• Tech-debt prioritization changes when a refactor that used to take a quarter now takes a day; the manager makes that call

• Terminal classifies every engineering manager candidate in AI Assisted, AI Enabled, or AI Native tiers and surfaces those signals at hire time

When not to hire an engineering manager: Some teams still win without one.

• Teams under 5 engineers where a senior IC plus tech lead structure still has runway

• Early-stage startups where the founder is the technical leader and the team is small enough to coordinate in a single Slack channel

• Pods where the friction is technical, not organizational, and a staff or principal engineer is the right hire

• Companies that need a director or VP of engineering rather than a line manager; the EM role is the wrong level for the problem

A senior engineering manager's job description is broader than the job posting suggests, but the day-to-day is concrete. Here is what they actually own.

Team output and delivery: The number the role is measured on.

• Quarterly commitments that the team can actually keep, with explicit trade-offs documented when scope changes

• Sprint planning, mid-sprint adjustments, and retrospective follow-through that closes the loop

• Cross-team dependency management, including the calls to escalate before a deadline slips

• The runbook for when a release goes wrong, including who decides to roll back and who tells the customer

People management and career growth: The compounding work of the role.

• Weekly 1:1s that the engineer drives and the manager prepares for in advance

• Quarterly career conversations grounded in the company's leveling rubric

• Performance feedback in the moment, including the hard conversations about underperformance

• Promotion packets, calibration discussions, and the documentation that has to back both

Hiring and interview rubric ownership: The investment that determines what the team looks like 12 months out.

• Job description writing that filters for the actual signal the team needs, not a checklist of frameworks

• Interview loop design including the rubric, the panel, and the calibration meeting that follows

• Final-round assessment where the EM is the deciding voice on level, fit, and offer

• Onboarding plan customized to the hire's experience level, with a measurable first-30-days outcome

Technical decision quality: The senior bar is judgment without IC time.

• Architecture review participation where the EM asks the second-order question, not the obvious one

• Evaluating the proposal from a senior engineer well enough to push back when the trade-off is wrong

• Tech-debt prioritization that survives product pressure, including the willingness to say no to a quarter of features

• Reading the postmortem and translating the technical cause into a process or staffing change

Process and operating cadence: The discipline that lets the team scale without breaking.

• Sprint planning, standups, retros, and demos sized to the team's actual needs

• On-call rotation design, including escalation paths, handoff hygiene, and the policy for compensating off-hours work

• Incident response process, including the role the EM plays during the incident and the role they hand off afterward

• Killing a ceremony when it stops earning its place on the calendar, and replacing it with one that does

Cross-functional partnership: Most of the EM's leverage lives outside the engineering org.

• Partner with product on scope, sequencing, and the negotiation between depth and breadth

• Partner with design on what is buildable inside the timeline and which constraints push back on the design

• Partner with customer success and sales on commitments the team can actually keep, including the willingness to say no to a deal-driven scope creep

• Partner with finance and recruiting on headcount planning, budget, and the offer conversations that come with each hire

Executive communication: Translating engineering reality into business language without losing either.

• Weekly or biweekly written updates that surface progress, risk, and asks without burying the lede

• Quarterly business reviews that connect the team's output to revenue, retention, or product-led growth

• Escalation calls handled without theatrics, including the willingness to deliver bad news before it lands

• Board-level material when the team's work matters to the company's strategy

The skill bar separating a senior engineering manager from a former senior IC is the ability to lead a team to outcomes the manager could not produce alone. Terminal screens for both the technical foundation and the leadership depth. Only the top 7% pass our screening, and the skills below are the ones that come up in the loop.

People leadership at depth: Real experience managing engineers, not coordinating projects.

• 3 plus years managing engineering teams of at least 5 reports, including hiring, performance management, and at least one full promotion cycle

• Track record of growing reports to the next level, not just keeping them at the current one

• Comfort with the hard conversations: underperformance, scope conflict, the senior engineer who has stopped growing

• 1:1 discipline that the reports can describe in their own words, not just on the calendar

Technical judgment without IC time: The senior tell for engineering managers.

• Recent enough IC experience to read a pull request and understand the trade-off, even if they have not opened one in months

• Comfort evaluating architecture proposals without owning the implementation

• Opinionated on tech-debt prioritization, including the willingness to refuse a quarter of features when the foundation is cracking

• Strong enough on the team's stack to ask the second-order question in a design review, not just the first one

Hiring and team building: Production experience running the loop, not just sitting on the panel.

• Built or rewritten an interview rubric calibrated against a leveling guide

• Run an interview loop end to end: sourcing, screen, technical rounds, calibration, offer

• Made the call on at least 10 plus full-time hires across seniority levels and rejected more candidates than they hired

• Designed an onboarding program where the first shipped pull request is a measurable outcome

Process and operating cadence: An opinion on agile, not a recitation of the ceremonies.

• Scrum, Kanban, Shape Up, or a hybrid model picked deliberately for the team's actual constraints

• Sprint planning, standups, retros, and demos sized to the team, not the framework manual

• On-call and incident response process that the team trusts, including the runbooks and the postmortem template

• Comfort killing a ceremony that has stopped earning its place, and the political capital to do it

Cross-functional collaboration: Most of the role lives outside the engineering org.

• Track record of partnering with product on roadmap negotiation, not just receiving the requirements

• Partnership with design on what is buildable and where the timeline pushes back

• Comfort with sales and customer success conversations, including the willingness to push back on commitments the team cannot keep

• Executive communication that translates engineering reality into business language without losing either

Coaching and feedback delivery: The compounding skill that separates the manager from the lead.

• Feedback delivered in the moment, grounded in specifics, and connected to the rubric

• Coaching on the engineer's actual gap, not the manager's preferred working style

• Comfort delivering negative feedback without retreat, and positive feedback without inflation

• Mentorship across levels, including managing managers when the team grows past a single pod

AI Fluency for managers: The 2026 capability the role has to lead, not observe.

• Working knowledge of agentic AI workflows: Claude Code, Cursor, GitHub Copilot, and the orchestration patterns the team is already using

• Comfort evaluating an engineer's AI tool leverage in performance reviews, not just their commit volume

• Hiring rubrics that include AI Fluency tier as a signal, including the questions that surface the difference between AI Assisted, AI Enabled, and AI Native

• Capacity planning that reflects the 2 to 3 times faster delivery AI-augmented engineers ship at, and the willingness to coach an AI-resistant senior into the new operating model

• AI Enabled or AI Native tier per Terminal's standard. The manager either uses AI tools in their own workflow, or leads a team that does

Soft skills that matter: The non-technical bar is the bar.

• Clear written communication. Most management work happens in 1:1 notes, performance docs, async updates, and roadmap memos

• Calm under pressure: the failed deploy, the missed quarter, the surprise resignation

• Pragmatism on scope. Knowing when to ship and when to refactor the team itself

• The instinct to protect engineering time from product churn without becoming the team's blocker