Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Energy & Climate

WEBSITE

https://www.juna.ai

About the company

Juna AI builds industrial AI agents that help run energy-intensive production processes, with a focus on efficiency and decarbonisation for heavy industry. The company describes the product as an “agentic process control” platform that learns from sensor data and optimises real-world plants like chemical, paper, cement, and steel. Juna AI announced a $7.5M seed round led by Kleiner Perkins with participation from Norrsken VC and angel investors including John Doerr.

Locations and presence

Juna AI is headquartered in Berlin and hires on-site there for current roles. The company also signals regular travel to customer sites for the Forward Deployed Engineer role (up to 25%).

Palpable Score

49.0

/ 100

Juna AI has one clear early-career entry door via internships, and the job descriptions are unusually specific about what you’ll do day to day. The score is held back by limited entry-level volume, missing salary ranges, and very little public evidence of junior progression or retention.

Pillar 1: Early-career access

Score

7.2

/ 20

The company lists internship routes (including a Forward Deployed AI Engineer Intern on public job boards), which is a real entry point into core work rather than “marketing intern” filler.
Juna AI’s live openings skew experienced, with a Forward Deployed AI Engineer full-time role that expects prior AI solution-building experience rather than 0–2 year ramp language.
The company’s commercial internship (Business Development Representative Intern) still asks for 1–3 years of B2B experience and German fluency, which filters out many true first-job candidates.

Pillar 2: Hiring fairness and transparency

Score

12.2

/ 20

The company uses an ATS (Personio) and provides structured sections in postings (About the Role, responsibilities, About You, What we offer), which helps candidates self-screen.
Juna AI explains concrete constraints like travel expectations and on-site work, which reduces “surprise requirements” late in process.
The company does not publish interview stages, assessment time expectations, or salary bands, and several previously shared job links appear to have gone dead, which adds friction and uncertainty for applicants.

Pillar 3: Learning and support

Score

13.0

/ 20

The company’s internship wording explicitly mentions feedback and mentorship (“open to feedback and mentorship” plus “work alongside senior engineers”), which is the kind of support signal early-career hires need.
Juna AI frames roles as working closely with founders, researchers, and customers on real deployments, which can produce steep learning if the team follows through on coaching.
The company does not publicly describe onboarding, 30-60-90 day expectations, or a structured progression path, so a new grad has to rely on the manager and team quality.

Pillar 4: Pay fairness and stability

Score

9.5

/ 20

The company emphasises equity participation across roles, which is a baseline ownership signal for a startup.
Juna AI includes full-time employment language for core roles (permanent, full-time) rather than repeated short contracts.
The company does not publish salary ranges or benefits detail on the main job pages, which caps confidence on pay fairness for juniors comparing offers.

Pillar 5: Early-career outcomes

Score

7.2

/ 20

The company has external validation signals like a 2025 Forbes Cloud 100 Rising Stars mention, but that is not the same as showing junior promotions or retention.
Juna AI has limited public third-party employee outcome data (reviews, promotion stories, intern conversion stats), so it’s hard to verify how early-career hires progress after joining.
The company’s publicly visible hiring history shows some intern and early roles, but not enough repeat cycles to confidently score “repeatable early-career outcomes.”