Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

http://www.deepset.ai/

About the company

deepset builds tools for teams shipping production-grade AI applications, including custom AI agents and retrieval-augmented generation systems. The company is best known as the creator of the open-source Haystack framework, plus a commercial Haystack Enterprise Platform for enterprise deployment and governance. deepset positions the platform for regulated and security-conscious environments across cloud and on-premise. Public company pages also show a strong focus on developer community and open-source contributions.

Locations and presence

deepset lists Berlin as headquarters and also maintains a New York office. Hiring is advertised across Berlin, Barcelona, London, and remote roles depending on function.

Palpable Score

57.5

/ 100

deepset looks fair and structured in how hiring is run, with unusually clear public detail on interview steps and time expectations. The score is held back by limited entry-level access and thin public proof on early-career progression and promotions.

Pillar 1: Early-career access

Score

7.5

/ 20

The company’s current roles shown publicly skew experienced, with listings like Forward Deployed Engineering and Value Engineer rather than 0–3 year titles.
deepset does not currently show internships, working student roles, or graduate roles on the main careers page, limiting straightforward entry points.
The company supports student contribution routes through the Haystack open-source ecosystem (including Google Summer of Code guidance), but this is not the same as paid early-career hiring volume.

Pillar 2: Hiring fairness and transparency

Score

14.5

/ 20

The company has published a detailed interview process outline including a recruiter screen, hiring manager interview, a practical challenge, an in-depth review interview, and two cultural-fit interviews.
deepset sets a clear expected time cost for the practical challenge (3–4 hours) and states that timelines are agreed mutually with candidates.
The company has mixed public interview feedback on responsiveness, including reports of slow feedback even when the steps themselves were structured.

Pillar 3: Learning and support

Score

13.0

/ 20

The company highlights “Growth” benefits including support for learning, conferences, and professional development.
deepset provides mentorship framing in its Haystack open-source student guidance (real-world projects under experienced developer mentorship), which is a concrete learning signal around the ecosystem.
The company does not publicly spell out early-career onboarding mechanics (buddy, ramp plan, feedback cadence) in the roles and pages visible to applicants.

Pillar 4: Pay fairness and stability

Score

11.5

/ 20

The company states employee stock options are part of the package and positions this as ownership for employees.
deepset lists tangible benefits like home office budget and tech setup, plus health coverage and retirement plans depending on location.
The company does not consistently publish salary ranges in public job listings, so pay fairness for juniors relies on third-party compensation snapshots rather than posted bands.

Pillar 5: Early-career outcomes

Score

11.0

/ 20

The company has positive overall employee sentiment on public review platforms (high overall rating and recommendation rate), but sample sizes are modest.
deepset does not publish early-career outcomes like intern-to-full-time conversion, time-to-promotion, or example junior career paths.
The company shares some hiring outcome signals (such as an offer-acceptance rate in published hiring content), but that does not replace retention and progression data over 12–24 months.