Company details

HEADCOUNT

25-99

ORG TYPE

Corporate

SECTOR

Energy & Climate

WEBSITE

http://www.bidgely.com/

About the company

Bidgely builds UtilityAI software that helps electricity and gas utilities use smart meter and customer data for things like customer engagement, energy efficiency, EV program support, and grid planning. The company is best known for “disaggregation” analytics that infer appliance-level usage patterns from meter data. Bidgely was founded in 2011 and is headquartered in Mountain View, California. Public materials position the work as climate and grid impact through utility-scale deployments.

Locations and presence

Bidgely is headquartered in the San Francisco Bay Area and hires across the US, with a significant India footprint for engineering roles. Public job postings show a remote-heavy hiring pattern for North America roles.

Palpable Score

61.4

/ 100

Bidgely looks like a decent early-career landing spot if you want fast learning in a product that ships into real utility programs, with clear benefits that support development. The score is capped because junior entry points exist but are not consistently visible at volume, and pay transparency relies more on benefits statements and third-party sources than on published ranges.

Pillar 1: Early-career access

Score

11.0

/ 20

The company is currently advertising junior-leaning roles such as Business Development Representative and Customer Success Associate or Delivery Associate, which are realistic first roles for graduates.
Bidgely’s live openings also include many mid-to-senior roles (manager, director, principal/architect), so entry-level access looks occasional rather than a steady pipeline.
The company’s careers site does not clearly label “new grad”, “0–2 years”, or internship cohorts, which makes it harder to spot true entry roles quickly.

Pillar 2: Hiring fairness and transparency

Score

13.0

/ 20

The company has enough candidate-reported structure to feel navigable, with common stages including phone screens, one-to-ones, skills tests, and presentations reported across roles.
Bidgely shows variability in timelines by role in candidate reports, which is normal, but it means early-career candidates may get inconsistent pacing and closure.
The company does not publish a simple “how we hire” timeline (stages, expected turnaround, feedback norms) on the careers page, so transparency is mostly indirect.

Pillar 3: Learning and support

Score

14.7

/ 20

The company explicitly lists an annual professional development stipend plus access to mentorship opportunities, which is a concrete learning support signal.
Bidgely frames growth as taking on more responsibility with internal moves and promotions based on readiness rather than tenure, which can work well for juniors in a scaling team.
The company does not publish onboarding, buddy systems, or a skills framework by level, so the quality of coaching likely depends on manager and team.

Pillar 4: Pay fairness and stability

Score

12.7

/ 20

The company publishes a benefits set that supports stability for early-career hires, including healthcare from day one, 401(k), flexible PTO, paid parental leave, remote work options, and an employee assistance program.
Bidgely also states that the company offers equity (stock options), which is useful for juniors if the offer letter explains the basics clearly.
The company does not consistently publish salary ranges alongside roles, which limits confidence on pay fairness compared with similar climate and utility software employers.

Pillar 5: Early-career outcomes

Score

10.0

/ 20

The company has a moderate-to-positive overall employee rating on review platforms, which suggests many people find the experience workable, but that’s not early-career specific.
Bidgely has limited public evidence on junior outcomes such as internship-to-full-time conversion, promotion timelines, or typical time-to-level-up.
The company’s LinkedIn footprint shows ongoing hiring and role variety, but without published retention or progression metrics, outcomes remain hard to verify beyond reviews.