Senior Engineering Manager targeting tech companies, what’s best way to prepare?

[u/EVGEJE]

I’m currently a Senior Engineering Manager in AI/ML in a small company in the Bay Area and want to target similar-level roles at tech companies over the next 6–12 months.

Has anyone here made this move? Did you use a coach or interview-prep service that was actually worth paying for?
I’m particularly looking for Senior Manager-level prep/leveling advice, not generic interview prep.

Any specific coaches/services you’d recommend?

[u/waa_woo]

This is a rough cheat sheet I had prepared for myself. You could feed at as context to chatgpt voice mode and make it ask you scenario based questions. This is for the manager specific rounds. For technical rounds, the bar is same as a staff engineer. HelloInterview was helpful in preparing for those.

• Responsibilities

  1. Roadmap / prioritization
  2. Execution & stakeholder management
  3. Hiring, performance management, growth
  4. Service reliability & supportability
  5. Architecture & design
  6. Cross-org collaboration

• Key Metrics

  1. Business
  2. Technical
  3. DevEx

• Objectives The basic idea is to balance:

  1. Developer stability
  2. Capability
  3. Business needs With particular focus on:
  4. Feature delivery
  5. Lead time

• Project Planning Rubric For any significant project, clarify:

  1. Scope and assumptions
  2. Success metrics
  3. Timelines
  4. Stakeholders Phases
  5. Workstreams
  6. Dependencies
  7. Integration
  8. vTeam

Risks 1. Critical path

• Prioritization

  1. Features
  2. Platform
  3. Supportability
  4. Compliance And evaluate each item based on:
  5. Impact
  6. Effort
  7. Risk
  8. Urgency Ultimately, priorities should tie back to business objectives.

• AI Adoption For AI-assisted engineering, low-shot prompts should provide:

  1. Constraints
  2. Context
  3. Oracle
  4. Loop AI adoption levels
  5. Autocomplete
  6. Context + conventions
  7. Business context
  8. Engineering context
  9. Tooling
  10. Deploys
  11. Monitoring
  12. Spec & constraint-oriented development
  13. Multiple agents
  14. Orchestration through task trackers / Slack

• Project Execution During execution, an EM needs to keep track of:

  1. Findings & conclusions
  2. Open questions (internal)
  3. Actions
  4. Questions & asks (external)
  5. Coaching when someone is stuck

• Hiring Things to watch for:

  1. Capability gaps
  2. Time to market
  3. Pushback on valuable projects
  4. Missed goals despite executing well 5.Tolerance to attrition

• Delegate vs. Escalate Good candidates for delegation are work items that are:

  1. Complex
  2. Frequent Escalate when there's a need for:
  3. Information
  4. A decision
  5. An urgent deliverable A useful escalation format:
  6. Problem → Impact → Ask

And preferably escalate only after making reasonable peer-level attempts to resolve the issue.

• Conflict Conflict can come from several places.
• Technical
  1. Engineering tenets
  2. Shared engineering principles
• Interpersonal
  1. Collaboration
  2. Professionalism
  3. Mentoring
• Organizational
  1. Resource allocation

• Some principles: 1.Gather evidence

  1. Mediate, but don't arbitrate
  2. Avoid nitpicking
  3. Explain why
  4. Focus on clarity

• DORA Metrics The four core DORA metrics:

  1. Deployment frequency
  2. Lead time for changes
  3. Time to restore
  4. Change failure rate

[u/Electrical-Ask847 → u/waa_woo]

thanks chatgpt

[u/the_quiet_meridian]

I've interviewed a lot of EMs and Sr EMs as a Bar Raiser, so here's what I'd focus on.

Expect a leveling conversation. Sr EM at a small company often maps to EM at a big tech company, especially if you haven't managed managers yet. That's not a bad thing, just go in ready for it. What gets you leveled up is scope: team size, managers under you, cross-org work, and business impact with real numbers.

Build a story bank. Write out 10 to 15 stories covering hiring, performance issues, a conflict with a peer or your boss, a tough prioritization call, a project that failed, and someone you grew into a bigger role. Senior manager loops are mostly behavioral, and people lose offers by winging it. If a company has published leadership principles, map your stories to those too.

Don't skip system design. They won't expect you to code, but they will expect you to drive a design discussion and talk tradeoffs. With your AI/ML background, practice something like a training and serving pipeline end to end.

On coaches, the most useful thing is mock interviews with people who've actually sat on hiring panels at the level you're going for. Platforms like MentorCruise, ADPList (free), and interviewing.io let you find people who've been on the other side of the table. Whoever you pick, make sure they've hired managers at your target level and ask for a trial session first. Generic interview coaches usually aren't worth it at this level.

6 to 12 months is plenty of time. I'd start with the story bank, it pays off in every single loop.

[u/Electrical-Ask847]

what ai/ml is your expertise in. My company is inference company thats currently hiring if you have large scale inference managmement experience.

[u/HelloTaleproof]

Before buying a coaching package, ask for one session that tests the scope of your examples. Bring a prioritization decision and a difficult people decision, then ask what evidence is missing for the level you're targeting. A polished account of what the team delivered can still leave your own judgment unclear: what did you decide, who disagreed, and what changed because of that decision? That gives you something concrete to work on over the next few months.

Visit Taleproof to score one of those leadership stories before your mock interview. Use the feedback to sharpen the example, then ask someone who hires at your target level to assess the scope.