How Work Gets Done
Coulomb AI lists eight salaried roles on its Zero G Talent board: Senior Full Stack Developer, Senior Frontend Developer, Senior Backend Engineer, UX Designer, Battery Modelling Engineer, Senior Data Scientist, Senior Frontend Developer - Analytics Platform, and AI Engineer, all based in Bangalore.
| Role | Salary Range (USD/yr) |
|---|---|
| UX Designer | $8k–12k |
| Senior Full Stack Developer | $50k–70k (Zero G Talent's data shows) |
| Battery Modelling Engineer | $10k–14k |
| Senior Data Scientist | $25k–40k (Zero G Talent's job board reported) |
| AI Engineer | $40k–60k (Zero G Talent's figures put) |
| Senior Frontend Developer - Analytics Platform | $30k–40k (according to Zero G Talent's job board) |
| All roles (Zero G Talent board aggregate) | $23k–65k (median $40k) |
The board shows no product managers, engineering managers, or dedicated DevOps roles.
Founders Santanu Mondal (CTO) and Khushboo Shrivastava (CEO) are the only named leadership. Mondal spent six years at General Motors on electric vehicles, battery management, and charging systems; he holds a mechanical engineering degree from IIT Bombay. Shrivastava spent six years building automotive enterprise products, including car-sharing platforms and fleet management software, before founding Coulomb in 2021. The company participated in Y Combinator Summer 2021 and secured backing from Harvard Management Seed Capital and CSVE Ventures.
The role mix, including AI Engineer, Senior Data Scientist, and Battery Modelling Engineer, signals a product fusing machine learning with domain-specific physics. With roughly half a dozen core engineers and no middle-management layer visible in the postings, engineers own the pipeline, infrastructure, and release cadence. The research reveals no public sprint rituals, documented RFC culture, or engineering ladder. At this size, process is whatever the founders model day to day.
Bangalore adds a practical constraint: the talent pool is deep but the market moves fast. Retaining a Senior Full Stack Developer at $50k–70k means the work itself must carry the weight — ownership, visibility, the ability to shape a product from an early stage. That's the bargain the structure offers. It's not for everyone.
Values and Operating Principles
Coulomb AI's LinkedIn profile states its vision: "a future powered by the seamless integration of AI and battery technologies, creating a powerful synergy to combat climate change." The Y Combinator company page translates this into engineering terms: "category-leading software that can significantly improve battery lifespan and performance by employing advanced predictive analytics, real-time monitoring, and adaptive battery management algorithms."
The founders' backgrounds encode a principle of domain depth over generic AI. When Shrivastava wrote in March 2026 that the team spends its days "obsessing over SOH curves, degradation models, digital twins," she added: "Not dashboards. Not algorithms. But helping real operators make electric mobility work at scale."
The company's site promises "comprehensive real-time analytics on how your batteries are performing, key factors affecting failure and downtime" with "corrective actions to avoid sudden breakdowns and ensure 100% uptime." A separate product line, Coulomb Technology, monitors solar generation, grid pricing, weather forecasts, and facility load profiles — then automatically executes the best energy strategy every 15 minutes, 24/7.
Third-party validation appears in a customer testimonial on Shrivastava's LinkedIn from March 2026. Billy Blaustein of Vammo wrote that the platform helped them "expand battery lifetime's in excess of 75%" and "quantify degradation factors we couldn't see before, prioritize the right interventions, and extend battery lifespan in ways that directly impact our business model." He added the platform is "helping us evaluate tens of thousands of batteries, uncovering how temperature, charging behavior, and operating conditions affect long-term performance." The company claims 80,000-plus batteries monitored across four countries (UK, US, and APAC) as of October 2024.
Shrivastava's August 2026 LinkedIn post dissecting Tesla's warranty charge swings shows a team that reads SEC filings for signal: "$173 million in Q1. And +$380 million in Q2. Same measure, opposite directions, six months apart."
The founders have stated outright: "We believe we're just beginning our journey" (October 2024) and "The journey is just getting started" (March 2026). In a sector where battery warranties span eight to ten years, that phrasing reflects a commitment to the timescale of the problem. The operating principles, in sum: climate-first mission, electrochemistry-grounded AI, operator-outcome obsession, 15-minute control-loop discipline, decade-scale horizon.
What the Hiring Bar Selects For
Coulomb AI's careers page states: "We raise the bar." The phrase appears alongside six operating principles (customer obsessed, raise the bar, truth seeking, operate from first principles, problem focused, data driven) that double as a filter. The company uses a specific label for the people it wants: "Founding Teammates who understand the responsibility that comes with autonomy and wants to work for a greater purpose."
The evidence sits in the roles. The company hires across the stack, including Senior Backend Engineer, Senior Data Scientist, AI Engineer, and Battery Modelling Engineer, but every posting demands meaningful experience. The JoinUs page lists minimums of two years for a Frontend Web Developer, three for a Data Engineer, four for a Senior Full Stack Engineer, five for a Lead Platform Developer. No junior openings.
A GitHub note from May 2026 reviewing a candidate captures the profile the founders target: "Level & Strategy Top fit at Coulomb. Exact profile (senior IC building AI features). Pitch as 'founder who shipped to 100K users.'" The shorthand reveals the hiring bar: senior individual contributors who have owned a product surface end-to-end, ideally with founder-level agency. The "100K users" benchmark implies the team expects candidates to have operated at a scale where technical decisions carry real user impact.
The careers page emphasizes that "the quality of technology directly correlates with its builders," which in practice means the technical bar is the cultural bar. A candidate who demonstrates first-principles reasoning on a battery-modelling problem, or shows how they reduced inference latency in a production AI pipeline, maps directly to the values the founders repeat.
What disqualifies a candidate? The inverse of the stated principles: reliance on received wisdom over first-principles breakdowns, optimization for local metrics over customer outcomes, preference for process over shipping. The "Founding Teammate" framing also filters out people who need defined lanes, frequent check-ins, or a manager to prioritize their work. In a team of this size, there's no room for passengers. The hiring bar selects for people who have already operated like founders — whether they carried that title or not.
What Current and Former Employees Say
The public record on Coulomb AI's employee experience is sparse — a single Glassdoor review constitutes the entirety of attributable, anonymous feedback available as of this writing. That review, posted on Glassdoor Singapore by a Machine Learning Researcher, reads: "It is a very good company to gain some professional experience if you have just started with Machine Learning." The reviewer assigned no star rating in the captured excerpt, nor elaborated on management style, compensation satisfaction, or work-life balance. The timestamp isn't surfaced, so recency can't be verified.
No other Glassdoor reviews, Blind posts, Levels.fyi entries, or public testimonials from current or former employees were located. The company's overall Glassdoor page shows one review total, suggesting either a very small team that rarely reviews employers publicly, or a workforce that hasn't yet engaged the platform in meaningful numbers.
Founders Santanu Mondal and Khushboo Shrivastava are the only named leadership in the board data. In a team this small, their direct influence on day-to-day culture is immediate and pervasive. The single review's emphasis on learning opportunity fits that model; what's missing is any account of what happens after the learning curve flattens.
Until more employees post, or the company grows to a scale where review platforms become statistically meaningful, the external view remains a single data point: a machine learning researcher who found it a good place to start. That isn't a culture portrait. It's a footnote.
Who Thrives Here and Who Burns Out
The picture emerging from Coulomb AI's public footprint (a Y Combinator S21 company with six salaried roles posted historically, a Bangalore-based team, and a founder who writes openly about the startup grind) is of an early-stage climate-tech outfit where the work is technically deep, the mission explicit, the structure minimal. Khushboo Shrivastava, the CEO, has described the day-to-day as that focus and noted that "you'll spend years explaining your vision… then one day, a customer says it better than you ever could, in a single post." That rhythm — long stretches of invisible technical work punctuated by moments of external validation — sets the tempo for who lasts.
People who thrive here share three traits. First, they want ownership without a safety net. Job postings on the board (the senior developer roles, AI Engineer, and the battery modelling and data science roles) all carry "Senior" in the title but sit in a salary band of $23k–$65k (median $40k). That gap between title and compensation signals an environment where you architect and ship major platform pieces (battery failure prediction, SOH estimation, digital twin pipelines) with minimal oversight. The team is small enough that no middle-management layer absorbs ambiguity. If you need a spec handed to you, you'll wait a long time.
Second, they're motivated by the climate mission concretely, not abstractly. Shrivastava frames the work as that mission and cites a customer, Vammo, who expanded battery lifetimes "in excess of 75%." The platform already monitors 80,000-plus batteries across four countries: UK, US, APAC. Engineers who stay get energy from seeing their models prevent a thermal event or extend a fleet's ROI — not from shipping features for a demo day.
Third, they tolerate, even prefer, the communication style of a founder who thinks in public. Shrivastava's LinkedIn posts read like working notes: she dissects Tesla warranty filings ("−$173 million in Q1. And +$380 million in Q2. That swing"), reflects on fundraising ("Pitch decks. Investor calls. Sales demos. Words, words, words"), and celebrates customer wins without corporate gloss. A team operating in that mode (transparent, analytical, slightly obsessive) selects for people who argue from first principles and don't need consensus rituals to move.
Who burns out? Three profiles. Engineers expecting dedicated DevOps, QA, product managers, and on-call rotations find themselves writing deployment scripts, triaging alerts, and negotiating scope directly with customers across time zones. The "Senior Frontend Developer - Analytics Platform" role at $30k–$40k/yr isn't a ticket to a component library; it's a mandate to build dashboards fleet operators rely on when battery strings drift.
People who need mentorship structures also struggle. With two founders and a handful of senior ICs, there's no formal career ladder, no leveling framework, no dedicated engineering manager. Growth happens by expanding the surface area of what you own, such as taking battery modelling into the EMS layer or the AI pipeline into VPP aggregation logic, not by climbing a rung.
Finally, anyone optimizing for cash compensation or predictable hours leaves quickly. The salary band tops out at $65k for senior roles in Bangalore, competitive for an early-stage Indian startup but a fraction of what the same titles command at global Big Tech outposts in the same city. The trade-off is explicit: equity, autonomy, a seat at the table for technology (sodium-ion BESS, non-flammable chemistry, −40°C to +55°C operation) that could rewrite stationary storage economics. You either believe that bet compounds faster than a higher base salary elsewhere, or you don't. The ones who stay have already made that calculation.
The board still shows open roles. The same two founders reading SEC filings late at night, then walking to the whiteboard in the morning to show the team what the numbers mean for the next 15-minute control loop.
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