All case studies
    Case Study · Clean Energy

    A niche controls engineer, in front of the hiring manager in 16 days

    How Kandidate filled a battery-rail Senior Controls Engineer role after the job boards and LinkedIn had already come up empty.

    IndustryBattery-Electric Rail
    CompanySeed stage · ~30 people
    RoleSenior Controls Engineer
    Search logSr. Controls Engineer
    White high-speed electric train at a modern station platformBattery-electric rail · Jacksonville, FL
    1. Day 0600+ candidates ranked, every source
    2. Days 1–10A dozen re-ranking passes
    3. Day 14Frontrunner surfaces · vetted in 24h
    In front of the hiring manager · Day 16
    Same day
    First candidates sourced
    16 days
    To the hiring manager
    600+
    Candidates ranked

    A seed-stage clean-energy startup building battery-electric freight locomotives needed a Senior Controls Engineer in Jacksonville. The role called for a rare stack: Ignition by Inductive Automation, microgrid and substation controls, PLC programming, and battery or rail-electrification exposure — all at a comp level below the coasts.

    Every requirement narrowed an already small pool. Battery rail is a young field with no established talent pipeline, and the people who can actually do the work are scattered across power generation, industrial automation, and a handful of energy startups.

    The client had already run the usual playbook. They posted the role on the job boards. They worked LinkedIn. Nothing landed. That isn't a knock on their team — it's what happens when you point broad-reach tools at a role where a few hundred people in the country qualify and none of them are looking.

    01

    One search, every source

    Posting a job on a board is one thing. Searching every candidate inside it is another. The platform actively pulled from CoreSignal and the major job boards — Monster, CareerBuilder, Dice — profiles and uploaded resumes alike, and dropped everything into one ranked list scored on the same scale.

    More than six hundred candidates surfaced and got sorted by fit against the role's real requirements. No five browser tabs, no spreadsheet to dedupe. One pipeline.

    [ FIG. 01 ]One search, every source
    CoreSignalMonsterCareerBuilderDice
    600+ candidates · one ranked list
    Every profile scored on the same scale — no tabs, no dedupe spreadsheet
    02

    Outreach that earns a reply

    Sourcing a name is easy. Getting a skeptical, employed engineer to reply is the hard part. So the outreach wasn't a blast. Each strong match was written to about their actual work — the control systems they'd built, the protocols they knew, why this specific role lined up with their experience — then followed up thoughtfully rather than hit with the same message twice.

    The engineer who became the frontrunner replied on the first email. A few others wrote back positively too, which mattered: it meant a warm bench sitting behind the lead candidate.

    03

    Why email, not a voice call

    Kandidate runs AI voice outreach too — thousands of live phone conversations on high-volume, frontline roles where people will never open a cold email but will happily talk for two minutes. For a senior, in-demand engineer, a well-aimed written note beats a phone call every time. The platform's job is to match the channel to the person, and here that meant email.

    04

    A person owns the handoff

    The platform searches, ranks, and drafts the outreach. It does not put anyone in front of a hiring manager on its own. Every candidate that gets submitted is reviewed and signed off by an experienced recruiter first — someone who reads the profile, weighs the gaps against the must-haves, and decides whether it earns the manager's time.

    That is why the frontrunner went across with his strengths and his thinner spots both spelled out, nothing oversold. The AI does the reach. A human owns the handoff.

    05

    How the system found the match

    The platform didn't run one search and hand over a list. It ran the search continuously and kept re-scoring. As the brief sharpened around the startup's specific stack, the system re-ranked the entire pool again and again — more than a dozen passes over ten days, hundreds of candidates re-sorted each time. The genuinely qualified engineers got pulled up; the almost-rights fell away.

    Two weeks in, the refined search pushed a senior controls engineer with the right sixteen years to the top of the list. A recruiter reviewed him and reached out the same day. Within twenty-four hours he'd been vetted and submitted to the hiring manager, and he confirmed his interest right after. He's since completed a first interview, with the client keen to move forward.

    [ FIG. 02 ]Sixteen days, end to end
    1. Day 0
      Role opens — sourcing starts the same day

      The platform pulls from every source and ranks 600+ candidates against the role’s real requirements.

    2. Days 1–10
      A dozen re-ranking passes

      As the brief sharpens around the startup’s specific stack, the entire pool is re-scored again and again.

    3. Day 14
      The frontrunner surfaces

      A senior controls engineer with the right sixteen years rises to the top of the list; a recruiter reaches out the same day.

    4. Day 15
      Vetted and submitted within 24 hours

      An experienced recruiter reviews the profile and signs off — strengths and thinner spots both spelled out.

    5. Day 16
      In front of the hiring manager

      Interest confirmed; first interview completed, with the client keen to move forward.

    It worked because the system kept calibrating until the right person rose to the top — instead of settling for whoever showed up first.

    Got a role the right person is impossible to find?

    That's exactly the kind of search we like. Tell us the seat that's been sitting open and see what the platform surfaces.