Technology
Career advisory for technology
The short answer
Yes. Most technology careers in the first decade stall on positioning, not capability: the work is real, but the résumé reads like a ticket queue and the interview loop rewards structured narrative. Engagements here focus on scoping your impact in measurable terms, preparing for multi-stage loops and negotiating level and equity alongside base salary.
Engineers, product, design, data and technical program professionals, 0–10 years in.
Roles this work usually covers
- Software engineer and senior engineer
- Product manager and associate product manager
- Data analyst, data scientist and analytics engineer
- Product designer and UX researcher
- Technical program and project manager
Situations that bring people in
- Levelling conversations that keep getting deferred
- Loops that end at the system-design or product-sense round
- A pivot from services or IT into product engineering
- Compensation packages where equity, not base, is the real variable
- Scope changes after a reorganization or team merge
What changes by the end
- Impact stated as scope, ownership and outcome rather than tools used
- A story bank mapped to behavioral, technical and product-sense rounds
- A levelling case you can hand to a manager before a review cycle
- An offer model that compares base, bonus, refresh and vesting side by side
Engagements built for this
Questions people ask
- Do you help with technical interview preparation?
- Preparation covers behavioral, product-sense, system-design framing and presentation rounds. Algorithm drilling is not part of the work; you are pointed to better tools for that and we focus on the rounds where strategy, structure and communication decide the outcome.
- Can you help me move from a non-technical role into product?
- Yes, through the Career Pivot Accelerator. The work begins with a feasibility assessment so you know whether the move is realistic before you spend six months on it.
- How is AI changing technology roles?
- AI compresses execution and raises the value of judgment, scoping and review. Positioning work names where you decide rather than where you produce, and how you use AI responsibly in your workflow.