FAQ
Straight answers about how I work, what to expect, and whether we are the right fit for each other.
An Executive Tech Coach provides senior technology leadership on a part-time or flexible basis. This includes setting technical direction, making architecture decisions, hiring and structuring engineering teams, managing technical debt, evaluating vendors, and ensuring your technology strategy aligns with your business goals. The key difference from a consultant is accountability: an Executive Tech Coach is embedded in your decision-making, not just advising from the outside. If you want to see what that looks like week by week, here’s the 90-day breakdown →
It depends on the stage and complexity of the engagement. Early-stage startups with active hiring or architecture decisions typically need 20 to 40 hours per month. More stable companies in a maintenance or optimization phase may need 10 to 15 hours. We define the scope together at the start based on your actual needs, not a fixed package.
Most engagements use a combination of scheduled weekly or biweekly calls plus async communication through Slack or your preferred tool. I integrate with your existing workflows rather than adding new overhead. For critical decisions or active hiring phases, availability increases. You are not dealing with a black box: you will always know what I am working on and why.
Yes. Most of my active engagements are with companies based in the US and UK, with a growing number in Europe. Timezone overlap is managed through flexible scheduling. A significant portion of the value in these engagements comes from India-specific expertise, particularly around GCC setup, hiring in the India market, and building distributed teams between Western markets and India.
The highest-value scenarios are: post-product-market-fit startups (Series A or approaching it) that need to scale engineering without a full-time CTO salary; SMEs with 20 to 200 employees that have outgrown their current technical leadership; and non-technical founders making expensive guesses about architecture and hiring. Companies earlier than product-market fit often need a different type of support, and companies beyond 200 engineers usually need full-time leadership.
Yes. AI strategy is increasingly part of most technology engagements. This includes evaluating whether AI genuinely creates value for your business, identifying the right use cases, assessing build vs. buy decisions, and ensuring your team has the capability to implement and maintain AI initiatives. I focus on practical, outcome-driven AI integration rather than following trends for their own sake.
Yes, and this is often where the most value is created. Most engagements involve working with an existing team: improving processes, raising the quality bar, restructuring how work is planned and delivered, and developing mid-level engineers into stronger technical leaders. The goal is always to make the team better, not to create dependency on my continued involvement.
Yes. This is one of the most common reasons companies engage me. Services include defining the hiring plan (what roles, in what order, at what seniority), writing job descriptions that attract the right candidates, conducting technical interviews, and making hiring decisions. I have hired and managed 200+ engineers across geographies, so I understand what good looks like at different stages and company types.
My experience spans SaaS, fintech, healthtech, e-commerce, logistics, and enterprise software. The underlying challenges are often similar: scaling teams, managing technical debt, improving delivery predictability, and making smarter architecture decisions. Industry-specific domain expertise matters less than most companies think; what matters is having someone who has seen similar engineering scaling challenges and knows how to navigate them.
Most engagements begin within 2 to 3 weeks of the initial strategy call. The onboarding phase involves a structured discovery period: getting up to speed on your tech stack, team, roadmap, and key decisions. The first deliverable is typically an honest assessment of your current state and a prioritized action plan, which usually lands within the first 30 days.
A typical month includes a weekly sync covering priorities, blockers, and decisions; async availability between calls; and one or two deeper working sessions on architecture reviews, hiring decisions, or roadmap planning. A monthly written summary covers what was done, what changed, and what is next. Early months tend to be more intensive. Later months get lighter as systems and processes become more autonomous.
A Global Capability Center (GCC) is a dedicated subsidiary or operational unit that you own and control, typically established in India. Unlike outsourcing, where a vendor provides services and you have limited visibility or control, a GCC is your team: they are on your payroll (via a local entity), aligned with your culture, and accountable to your roadmap. The tradeoff is higher upfront setup effort, but the long-term economics and quality outcomes are significantly better for companies that are serious about building lasting capability in India. I’ve written up the specific failure points twice-failed GCC attempts tend to share, worth seeing before you try a third time →
A realistic timeline is 4 to 6 months from decision to having your first team members operational. This includes entity setup (2 to 3 months), hiring the first cohort, establishing governance, and onboarding. The most common mistake is underestimating the time for legal entity setup and compliance. I help companies move faster by working with experienced local partners and having a clear sequencing plan from day one.
Yes. Post-setup support is often where the real work begins. This includes ongoing hiring as the team scales, establishing engineering processes and culture, creating governance structures that keep the GCC aligned with the parent company, and managing the transition from a setup phase to a self-sustaining operation. Many clients continue working with me through the first year of operations to ensure the GCC develops the right habits and independence.
Managed Teams is an outcome-driven engineering model where you define the roadmap and outcomes, and the team handles delivery. Unlike traditional outsourcing where you manage individual developers, in this model you own the vision and we own the execution. The team is structured, led, and accountable. You get the efficiency of an outsourced model with the alignment and predictability of an internal team. Pricing is based on outcomes or deliverables, not hours. If this sounds close to what you need, check your project against real fit criteria →
Accountability is built into the structure from day one. We define clear deliverables, timelines, and success metrics at the engagement start. Regular check-ins ensure visibility without micromanagement. Quality is maintained through code review processes, engineering standards, and a culture of ownership rather than task completion. If something is off track, you know immediately, not at the end of a sprint. The goal is predictability: you should be able to plan your business with confidence in what the team will deliver.
Staff augmentation gives you individual developers that you manage yourself. You own the coordination, process, quality bar, and outcomes. Managed Teams is the opposite: you own the roadmap and vision, and the team owns delivery. There is built-in structure, a team lead, sprint processes, and accountability. You do not manage individual engineers. You get progress reports, delivery milestones, and working software. Internal overhead is dramatically lower, and you are not left scrambling if an individual contributor leaves.
See how these engagements have played out for founders in a similar spot, or connect directly on LinkedIn.
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