Deployment Lead

3 нед. назад

175k–225k USD / yearUSALead

Lead customer engagements to scope problems, direct engineers, and own outcomes through go-live, focusing on AI data migration and transformation.

Обязанности

1. Engagements – the core. Run what we sign as the engagement lead: scope with the stakeholders who own the systems, direct our engineers, make the calls that keep it moving, and own it through go-live. On day one that looks like: we just signed a post-M&A migration at a portfolio company – go lead it with two engineers.
2. Relationships – the work creates the next work. The person who ran the last engagement is the most credible person in the next room. You'll sit in the sponsor conversations, present the readouts, and turn one portco into three. There's no quota, and the commission is upside on anything you bring in yourself.
3. The practice – over time. Every engagement shares common pieces, and we haven't productized them yet; that becomes yours to own, along with hiring engagement leads under you as customers stack up.

Требования

You have three to six years at McKinsey, Bain or BCG, or on a private equity value-creation team – the ideal path is a few years of consulting and then a stretch inside PE – or you ran a function in a portfolio company when the data was a mess.
● You can run an engagement, and you want to: an ambiguous scope, a demanding customer, and engineers who need clear decisions.
● You're operationally excellent. The deck is right, the model ties, and the client hears back the same day.
● You use AI aggressively, or you want to learn fast – real 80/20 judgment over polish.
● You want the upside, and you've seen what the path to partner looks like. You'd rather own something.

Другое

We're hiring someone to run our engagements: sit with the customer, scope the problem, direct our engineers, and own the outcome through go-live. Today that job belongs to the founders, and it's the constraint on the business – the work is signing faster than we can staff it. It's also the part most people find addictive, because you watch AI do real work inside an operating business.
The people who do well here come from McKinsey, Bain or BCG, from a private equity value-creation team, or from deployment work at a place like Palantir. You're operationally strong, you can hold a room of VPs, and you want to be on the frontier of how real companies adopt AI.
We partner with private equity firms on value creation inside their portfolio companies, using data and AI. is an AI-native data migration and transformation company: the portfolio company is the buyer, and the sponsor is the channel that gets us in.
Migration is ERP and CRM migrations and system consolidations – work that today goes to large offshore teams for 18–24 months, and should take weeks.
Transformation is everything leading up to the actual AI transformation: most companies' AI mandates stall because the data underneath was never made usable.
The hard part is deciding what the data means and proving the final record is correct. That judgment layer is what we own – ingestion, schema mapping, cited extraction, exception review, reconciliation, controlled writeback.
Done wrong, the wrong customer gets the wrong invoice for the wrong product, quote-to-cash breaks, covenants trip, and there's a new CFO in eight weeks. Verification, with a citation back to the source document on every field, is what customers pay for. Us
YC-backed (W24). About a dozen people in New York, mostly engineers, all onshore, and largely profitable. On track to grow from 0 -> $5M run-rate revs in 6 months (i.e. end of the year).