Pros
- Through past profitability and success, Turo HAS shown the business model is workable. Recent adjustments by Exec leadership/Board to solve for slower-than-desired growth has kinda thrown a wrench into all that (see other reviews), but once things settle and Turo allows itself to be a steady performer I think it'll turn out alright. - Understaffing resulting from ongoing mass resignations (see cons) should provide healthy opportunities for negotiation on the side of new employees. ⭐️⭐️So long as you're able to get in at a good price and aren't holding your breath on options/comp increases, this could be a good place to start.⭐️⭐️ For DS professionals specifically: - Incredible Data Science team, high performing and just generally great to work with IC’s/Managers with a Sr. director who is hands down one of the best managers I’ve had the opportunity of working with. Incredibly sharp, very affable, and deeply committed to ensuring team and individual success/development. - From a data perspective, one of the richer problem spaces out there by virtue of scale and the nuanced dynamics of a two-sided market place (pricing, risk, search rank, marketing, etc).
Cons
- General instability in the company brought about by decisions designed to increase churn (removal of workplace benefits like lunch and learning/development stipend, mandated/no-exception RTO MWF, move from RSU’s → options, granting of RSU portability to loosen them golden handcuffs ⛓️💥). - Potential headwinds to historical success due to erratic, seemingly panicked decision making by leadership bent on hitting growth goals. Potential of some present big swings costing us in long-term, and obviously the general challenges of high-performers who are able to depart doing so and being universally understaffed likely for the remainder of year at least. - Very low likelihood of comp increases in the near future, suspended for 2025 with future being conditional on extraordinary targets being met (effectively cost-of-living adjustments are considered performance incentives). - Unclear on intended future of Turo based on sudden direction shifts (pulling S1 then trying a manufactured RIF) For DS professionals specifically: - Some backslide away from model solutions towards basic heuristics in some domains may be a source of frustration (generally still think Data Org leadership can be relied on to push towards the right decision).