Fractional PM & Delivery Leadership
Sneha Keeliputti
Program Manager · Project Manager · Product Manager · Director of Delivery · Bengaluru → US & UK teams
Senior delivery leadership for your SaaS team, without the cost of a full-time hire
I build the delivery operating systems that let scaling teams ship with confidence. Working with US and UK clients since 2021, async across EST and PST.
EST / PST available
US / UK clients since 2021
PMP | PSM I | PSPO I
01.
WHO I WORK WITH
You're a good fit if any of these describe your team:
Your team has grown past informal coordination - You're past 10-15 people and sprints are starting to slip. Priorities are unclear. Nobody owns the delivery structure.
You're building in a regulated or compliance-heavy space - Healthcare SaaS, payroll, fintech, legal tech, environments where a delivery failure isn't just a bad quarter.
You need a Director of Delivery but can't justify the full-time cost yet - You know you need senior delivery leadership. You're not ready for a $180K full-time hire.
Your team is distributed or async-first - Remote teams in US, UK, or India. Timezone complexity. You need someone who has run this before, not someone learning it on your budget.
02.
WHAT I DO
Delivery operating system design
Sprint cadence, risk registers, KPI dashboards, escalation frameworks, launch sequencing. The infrastructure that lets your team move fast without losing clarity. I build it, train your team on it, and make myself unnecessary.
Release confidence and quality engineering
QA-origin delivery leadership, I understand release risk from the inside. I've moved test pass rates from 58% to 87% in a US payroll compliance environment. I know the difference between a sprint that looks on track and one that's quietly accumulating defect debt.
Cross-functional execution and stakeholder alignment
I sit between product, engineering, QA, and business stakeholders and keep everyone moving toward the same outcome. Executive reporting, board-ready delivery updates, and the kind of proactive communication that prevents escalations rather than managing them.
Startup scale-up delivery infrastructure
I've embedded as a fractional partner in a startup that scaled from 5 to 40 people and built every delivery system from scratch, sprint planning, PRDs, risk registers, onboarding norms, as the team grew. The founder moved from air traffic controller to strategic lead.
03.
PROOF OF IMPACT
Numbers from real engagements:
58→87% Test pass rate improvement, US payroll compliance
95%+ CSAT maintained, US & UK healthcare clients, 3 years
30% Defect rate reduction, enterprise SaaS platforms
20-30% Sprint velocity improvement, multiple engagements
5→40 Team scaled during single fractional engagement
10+ Global SaaS projects, zero post-launch incidents
04.
HOW IT WORKS
30-minute discovery call for free I ask about your team's size, your current delivery friction, and what's breaking.
Two-week paid pilot I join your team's existing tools (Slack, Notion, Jira), observe how delivery actually works, and produce a written Delivery Audit - where your confidence is lowest, what's causing it, and a prioritised action plan. You own the document.
Ongoing fractional engagement: 10-20 hrs/week Monthly retainer. You have a senior delivery lead embedded in your team, async across your timezone, for roughly the cost of one engineer's salary. Typical engagement: 3-6 months to build the operating system, then a graceful handover.
Graceful exit - you keep everything Every document, framework, and operating rhythm I build belongs to your team. The goal is always to make myself unnecessary. Most clients can run the system themselves by month 4.
BACKGROUND
Why this combination is rare
Most delivery leads come from product management or MBA programs. I started as a test automation engineer at IBM, Cognizant, and Oracle and spent nine years understanding how software actually breaks before I started running the programs that shipped it.That engineering foundation changes how I run delivery. I know the difference between a sprint that looks on track and one that's accumulating defect debt. I can have a credible conversation with an engineering lead about test coverage, release confidence, and what "done" actually means. That makes me a different kind of delivery partner than most fractional PMs.I've worked with US and UK clients continuously since 2021, including payroll tax compliance, healthcare SaaS, and AI-adjacent delivery. I understand US compliance environments, distributed team dynamics, and how to build delivery confidence when the cost of getting it wrong isn't just a bad review.
Start with a free 30-minute call
No pitch. Just a conversation about your team's delivery situation and whether I'm the right fit to help.
01. Case Study
A delivery case study from a high-stakes, legally sensitive SaaS platform
How I moved test pass rates from 58% to 87% and what it actually took
When I joined the delivery team at one of the US companies, the team was already working hard. The engineers were capable. The QA function was active. The project managers were running their sprints. And yet, only 58% of test cases were passing at the point of release.
In a standard SaaS environment, a 58% test pass rate is a serious problem. In a US tax compliance environment, where the platform was used by government tax agencies to process filings with direct legal consequence, it was a delivery crisis that nobody had named out loud yet.
The situation I walked into:
The platform processed payroll tax filings for US state and federal agencies. Errors in this system did not produce a bad user experience. They produced misfiled returns, incorrect withholding, and in some cases direct regulatory liability for the agencies using it. The stakes were not abstract.
When I looked at what was causing the 58% pass rate, I expected to find a technical problem, flawed test scripts, an environment issue, or a gap in coverage. What I found instead was a structural one.
The engineering team and the QA team were operating on separate calendars. Features were being marked 'development complete' before the QA team had been given the specification changes they needed to update test cases. Test execution was running against a moving target. Some test cases were failing not because the code was wrong, but because nobody had updated the expected outcome after a late-stage requirement change. The problem was not testing. The problem was handoff.
The decisions I made:
The first decision was to stop treating the test pass rate as a QA metric and start treating it as a delivery metric. A 58% pass rate was not a QA team failure. It was a signal that the delivery pipeline had a coordination gap that was accumulating into release risk. Framing it this way changed whose problem it was, which is the only way to fix a structural issue.
The second decision was to move the QA entry point earlier. Instead of QA receiving a completed feature, I introduced a lightweight spec review step where QA saw the requirement before development started. This gave the QA team time to write test cases that matched the actual specification, not their assumption of it. It also created a natural forcing function: if the specification was unclear, the QA team's questions surfaced the ambiguity before a developer wrote a single line of code.
The third decision was to introduce a release readiness checkpoint, a simple, structured review that happened 72 hours before any release. Not a gate that could be waved through. A structured conversation between engineering, QA, and the delivery lead where we answered three questions: what is the pass rate on critical path test cases, what are the known open defects and their severity, and is there anything in the release that we do not yet fully understand? If the answer to the third question was 'yes,' the release moved.
These were not technically sophisticated interventions. They were coordination changes. That is almost always where the real problem is in compliance delivery.
What changed and how long it took:
Within six weeks, the test pass rate had moved from 58% to 74%. Within the full engagement of approximately twelve months, it had reached 87% and held there through multiple release cycles.
The defect rate, defects found in production after release, dropped by 30%. That is the number that mattered most to the client. Every production defect in a compliance-sensitive payroll system triggers a manual remediation process, a client notification, and, in some cases, a regulatory review. A 30% reduction in production defects was not a quality improvement; it was a cost reduction and a risk reduction with direct commercial value.
The engineering team's relationship with QA also changed. By the end of the engagement, developers were bringing QA into specification discussions voluntarily, not because the process required it, but because they had experienced what happened when they did not. That is the kind of change that outlasts any specific process improvement.
What I would do differently:
I would have named the problem more directly in the first two weeks. The phrase 'test pass rate' made the problem sound like a QA metric. If I had called it a 'release confidence deficit' from day one, I believe the cross-functional alignment would have happened faster. Language shapes how teams understand ownership.
I also waited too long to involve the business stakeholders, the US-based product owners and compliance leads, in the release readiness process. They had context about which defects were genuinely critical versus which were edge cases that could be documented and deferred. Including them earlier would have made the triage decisions faster and more accurate.
02. Case Study
A fractional delivery case study - and the three things that break first when a team grows too fast
What it actually takes to install delivery rhythm in a startup scaling from 5 to 40 people
Most startup founders know exactly when their team has grown past informal coordination. They feel it before they can name it. Meetings start to run long without resolving anything. Priorities shift mid-sprint without a clear owner for the change. Features get built that nobody remembers asking for. Engineers wait on decisions that should have been made a week ago.
The team is not underperforming. The team has outgrown the operating model. Those are two completely different problems with completely different solutions.
The situation:
I joined a Web3-adjacent SaaS startup as a fractional delivery lead when the team was at 5 people. The founder was technically strong, highly driven, and had a clear product vision. What the company did not have was any formal delivery structure, which was entirely appropriate for a team of five. At that size, the founder knew everything that was happening, could answer any question immediately, and could course-correct in real time.Over the following months, the team grew. By the time we were at 15 people, the informal model was showing its first cracks. By 25, it had become the primary source of friction. By 40, it was the thing that was slowing growth more than any technical limitation.What I was brought in to do, and what I spent the engagement doing, was build the delivery infrastructure that let the team operate at its new size without losing the speed and ownership culture that had made it successful at its old size.
The three things that break first:
Based on this engagement and others, the same three things break in the same order when a startup scales past roughly 15 people.
The first thing that breaks is priority clarity. At five people, priority is whatever the founder says it is, communicated in real time. At fifteen, the founder cannot communicate priority to everyone in real time anymore. Different team members are operating on different assumptions about what matters most. This does not feel like a priority problem, it feels like a communication problem, or a coordination problem, or an alignment problem. It is all of those things, and they all have the same root cause: there is no system for communicating priority that does not require the founder's direct involvement.
The second thing that breaks is handoff discipline. In a small team, handoffs are conversations. Everyone sits near each other (physically or in Slack), context transfers naturally, and gaps get caught quickly. As the team grows, the handoffs get longer and more asynchronous. Information that used to move in a two-minute conversation now requires a written spec, a ticket, a review, and a follow-up. Most teams in this phase have not yet built the habits or the tooling to make asynchronous handoffs work reliably. The result is dropped context, rework, and the specific kind of frustration that comes from doing work that turns out to have been based on an outdated assumption.
The third thing that breaks is escalation clarity. In a small team, any problem that needs a decision goes straight to the founder. At thirty people, every problem still goes to the founder, because nobody has been given the authority or the framework to resolve it themselves. The founder becomes a bottleneck. Not because they are the wrong person to make the decision, but because the team has not yet developed the judgment to know which decisions they can own and which genuinely need escalation. Building this judgment requires a framework and practice, not just permission.
What I built and in what order:
The first thing I built was a sprint planning structure. Not a sophisticated one, a simple, repeatable cadence where the team started each week knowing the three to five most important things to finish, who owned each one, and what 'done' looked like for each. This sounds elementary. In a team that had never had it, it changed the character of every subsequent conversation. When priority is written down and agreed upon at the start of the week, you spend less time during the week re-litigating it.
The second thing I built was a PRD template. This was not a heavyweight product requirements document; it was a one-page structure that forced the answer to four questions before development started: What problem are we solving? Who specifically has this problem? What does success look like, and how will we measure it? And what are we explicitly not doing in this version? The template reduced the most common source of mid-sprint surprise: a developer building the right thing based on the wrong assumption about scope.
The third thing I built was a risk register that the team actually used. Most risk registers are created at the start of a project and consulted never. This one was a living document that got reviewed for fifteen minutes every Monday. The rule was simple: if you could see something that might slow delivery in the next two weeks, it went on the register with an owner and a mitigation plan. The act of writing it down and assigning an owner changed the team's relationship with risk from reactive to anticipatory.
The fourth thing I built was an escalation framework. A simple written guide that answered the question: 'When should I make this decision myself, and when should I bring it to the founder?' The criteria were specific enough to be useful and simple enough to be remembered. Over time, the team started making more decisions independently, not because they had more authority, but because they had a shared mental model for what 'within my remit' looked like.
What the engagement produced:
By the time the team was at 40 people, it had a delivery operating system that could absorb new team members without slowing down. Onboarding became structured rather than tribal. Sprint velocity improved by more than 20%, not because people worked harder, but because they spent less time on coordination overhead and rework. The founder moved from being in every conversation to being in the ones that actually needed them.
The most useful thing I heard from the founder near the end of the engagement was not a metric. It was, 'I stopped feeling like the team's air traffic controller'. That is what good delivery infrastructure does. It does not add process for the sake of process. It removes the founder from the critical path of decisions that do not need them there.
What I would do differently:
I would have started the escalation framework earlier. It was the last thing I built, partly because it felt the most sensitive; giving people permission to make decisions without the founder felt like something that needed to be earned gradually. In retrospect, the team was ready for it earlier than I introduced it. The delay meant the founder stayed a bottleneck for longer than necessary.
I would also have been more explicit with the founder about what we were building and why at each stage. I had the framework in my head from the start. The founder did not. Making the logic more visible earlier would have accelerated buy-in for changes that initially felt like overhead.
Why this matters for fractional delivery:
Fractional delivery leadership is most valuable at exactly this inflection point, when a team has grown past informal coordination but has not yet built the delivery infrastructure it needs. At that moment, the cost of a full-time Director of Delivery is hard to justify. The cost of not having someone who knows how to build that infrastructure is harder to see but ultimately larger.
I work with SaaS and compliance-driven teams in this phase as a fractional partner, typically 10 to 20 hours per week async across US/UK time zones for three to six months. The goal is always the same: build the delivery operating system the team needs, then make myself unnecessary.