What We Build - GTM Engineering Services
Most revenue teams have a list of systems they know they need and no engineering capacity to build them. Product engineering is committed to the roadmap, RevOps can design but not ship, and the work sits in a backlog getting more expensive every quarter.
We are that build capacity. Senior engineers working against your revenue stack, on fixed-scope projects, with code in your repositories and documentation you can hand to whoever maintains it next.
6 min read5 sectionsWhat We Build
What you'll take away
- Fixed scope and fixed price agreed before we start — you know the cost and the deliverable in advance.
- Code in your repositories, infrastructure in your accounts. No dependency by design.
- Documentation and runbooks are contractual deliverables, not a courtesy at the end.
- German-speaking project management, delivery by our Istanbul engineering team.
What we build
The scope is the layer between your tools: the integrations, logic and internal software that make a collection of platforms behave like one system. Concretely, these are the projects we deliver most often.
- Revenue system integrations
- Bidirectional syncs between CRM, marketing automation, product, billing and support — with conflict resolution, retry queues and alerting when something fails at 2am.
- Lead routing services
- Assignment by territory, segment, named account, round-robin and live capacity, executed in seconds with a full audit trail and SLA alerting.
- Enrichment and identity resolution
- Firmographic and technographic enrichment on creation, deduplication with a review queue, and identity resolution across form fills, product signups and event scans.
- Scoring models
- Fit and behavioural scoring in code with tests, so a weight change can be evaluated against historical data before it ships. Rules-based or ML, depending on what your data supports.
- Data pipelines and warehouse models
- Product usage, billing and CRM data joined in a warehouse, with metric definitions in version control and snapshots that make cohort analysis possible.
- Internal revenue tooling
- The small applications no vendor sells: account research views, territory planners, quote approval flows, security questionnaire libraries, proposal assembly.
- Data quality automation
- Scheduled normalisation, stale record management, validation enforcement and monitoring — with dry-run safety and audit logging on every automated change.
How we work
Every engagement follows the same five steps. The first one is paid, short, and produces something useful whether or not you continue with us.
Diagnostic (1–2 weeks)
We look at your funnel, stack, data model and manual processes, then come back with a prioritised list of what to build, what each would cost, and what it should return. If the honest answer is that you do not need us yet, we say that.
Scope and fixed price
A statement of work with defined deliverables, acceptance criteria and a fixed price. No day rates, no open-ended retainers. You know what you are getting before anything starts.
Build in your environment
Repositories in your organisation, infrastructure in your cloud accounts, credentials you control. Weekly demos of working software rather than status reports.
Verify against the baseline
We measure the metric the project was meant to move — response time, manual hours, data quality rate — against the baseline taken before we started.
Document and hand over
Architecture notes, runbooks, a decision log and a working session with whoever will own it. The handover plan is agreed at the start, not improvised at the end.
What you get
- Working systems in production
- Deployed, monitored and running in your environment — not a prototype or a proof of concept.
- Source code you own
- In your repositories, with commit history, code review and tests. Nothing locked behind our accounts.
- Documentation and runbooks
- Architecture overview, operational procedures, failure modes and how to extend each system.
- Monitoring and alerting
- Every automated job monitored for having run, for volume within a normal range, and for silent failure — the most expensive failure mode in revenue systems.
- A measured before-and-after
- The baseline and the result, so the value of the work is demonstrable rather than asserted.
Typical engagements
| Situation | What we build | Typical duration |
|---|---|---|
| Leads take hours to reach a rep | Routing service with enrichment, capacity awareness and SLA alerting | 4–6 weeks |
| Product usage invisible to sales | Event pipeline to warehouse to CRM, with account-level signals and alerts | 6–8 weeks |
| Reports disagree with each other | Warehouse models, metric definitions in version control, snapshot history | 6–10 weeks |
| A team drowning in CRM admin | Data quality automation, conversation writeback, hygiene jobs | 4–8 weeks |
| Inbound qualification consuming senior time | AI qualification and routing with an evaluation harness | 5–8 weeks |
| A stack of tools that do not connect | Integration layer with conflict handling, retries and monitoring | 6–12 weeks |
Why this works better than the alternatives
- Faster than hiring
- One to three weeks to start against three to six months to recruit plus two to three to ramp. During that gap, the problem keeps costing you money.
- Cheaper for bounded work
- Most builds fall well below the fully loaded annual cost of an equivalent senior hire — and you are not left keeping that person busy once the backlog is clear.
- Patterns already proven
- We have built routing, enrichment and product-to-CRM pipelines many times. You are buying a known pattern rather than funding someone's first attempt at it.
- Built to be maintained
- Version control, tests, monitoring and documentation as standard. The system is still working eighteen months later, which is the only test that matters.
- Honest scoping
- If a project would not pay back, we say so during the diagnostic. We would rather decline work than deliver something that will not be used.
Frequently asked questions
What is GTM engineering as a service?
- An external engineering team building and maintaining the software your revenue team runs on — integrations, lead routing, scoring, data pipelines and internal tooling — on fixed-scope projects rather than as a full-time hire.
How much does a GTM engineering project cost?
- Most builds fall between €15,000 and €60,000 depending on complexity, agreed as a fixed price before work starts. The diagnostic that precedes it is a separate, smaller fixed fee. For comparison, an equivalent senior hire costs roughly €130,000 to €180,000 fully loaded per year plus three to six months of recruitment.
Who owns the code?
- You do. Repositories are in your organisation, infrastructure runs in your cloud accounts, and credentials stay under your control from day one. Documentation and runbooks are contractual deliverables.
What happens after the project ends?
- You get a documented, monitored system and a working handover session with whoever will own it. Some clients then maintain it internally; others keep us on a small support arrangement. The handover plan is agreed before we start, so there is no dependency by accident.
Do you work with our existing tools?
- Yes. We build against whatever stack you have — we do not sell software or require you to switch platforms. If we think a tool is genuinely the wrong choice, we will tell you, but replacing it is your decision.
How do you handle data protection?
- Systems are built in your infrastructure with your access controls. Where residency, retention or consent constraints apply, those are treated as design inputs from the start rather than as compliance work added at the end.
Find out what to build, and what it is worth
A short, fixed-price diagnostic that produces a prioritised build list with cost and expected return for each item. No obligation to continue.