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A small central-team workspace mid-week: practitioners reviewing module drafts and platform dashboards.

Careers · 2026 hiring

Teach AI to the next million Indian graduates — on the campus where they already study.

We hire three kinds of people: practitioners who can teach, editors who own a curriculum, and operators who turn an MoU into a working campus.

See open rolesRead the ethos

Open roles

7 roles open. 1 more on the roadmap.

Status pills are honest: Open means we're hiring now; Founding cohort means we will hire as the first partner campuses sign; Future hiremeans we won’t open this until we can staff it well.

  • OpenResident faculty

    Resident AI Faculty — ML & Engineering (Track A)

    • On partner campus (rotational)
    • Resident faculty

    Teach agentic systems and applied ML to B.Tech CSE cohorts. Live on a partner campus; teach 6–9 hrs/wk; supervise capstones.

    What you would own
    • Deliver Track A modules across one or two partner campuses
    • Supervise capstone projects and weekly labs
    • Co-deliver Track E faculty enablement to host-university faculty
    • Hold the academic relationship with school heads on your campus
    • Contribute back to central curriculum twice a year

    The bar

    • 3+ yrs shipping ML in production (research engineer, applied scientist, or staff ML eng)
    • Comfortable building agentic systems with current frontier tooling
    • Has taught — formally or informally — and enjoyed it
    • Treats a tier-3 first-year with the same seriousness as an IIT senior
    Apply for this role
  • OpenResident faculty

    Resident AI Faculty — AI for Design (Track B)

    • On partner campus (rotational)
    • Resident faculty

    Teach generative-AI-native design practice to B.Des and BFA cohorts. Strong portfolio + serious AI tool fluency required.

    What you would own
    • Deliver Track B modules across partner campuses
    • Run weekly studio crits with working design practitioners
    • Bring industry mentors into weekly live work sessions
    • Advise on Skill Score design rubric
    • Refresh tooling component every 6 months

    The bar

    • 5+ yrs as a working designer or design researcher
    • Ships work made with generative tools — not just opinions about them
    • Can teach craft, not just process
    • Reads design history beyond Medium posts
    Apply for this role
  • OpenResident faculty

    Resident AI Faculty — AI for Management (Track C)

    • On partner campus (rotational)
    • Resident faculty

    Teach AI-leveraged decision-making, analysis, and product work to BBA / B.Com / MBA cohorts.

    What you would own
    • Deliver Track C modules with case-method labs
    • Co-design assessment with central team
    • Coach capstones with industry mentors
    • Hold relationships with management-school deans
    • Maintain weekly live-session cadence with industry partners

    The bar

    • Ex-strategy consultant, PM, or operator with substantive AI work history
    • Has done — not just advised on — analysis with frontier tools
    • Writes clearly
    • Genuinely interested in 19-year-olds, not just senior execs
    Apply for this role
  • OpenResident faculty

    Resident AI Faculty — AI Literacy for All (Track D)

    • On partner campus (rotational)
    • Resident faculty

    Teach discipline-specific AI literacy to B.A., B.Com, B.Sc cohorts — journalism, law, economics, sciences.

    What you would own
    • Deliver Track D modules across mixed-discipline cohorts
    • Translate frontier AI into discipline-relevant practice
    • Detect and teach against AI misuse (deepfakes, hallucination)
    • Co-write annual State of AI in Indian Higher Education report
    • Mentor capstones across disciplines

    The bar

    • Domain practitioner (journalist, lawyer, economist, clinician, educator) with hands-on AI work in your field
    • Can teach across disciplines, not just your own
    • Comfortable teaching students with weaker English
    • Writes for non-experts well
    Apply for this role
  • OpenCentral academic

    Curriculum Lead — Track A (ML & Engineering)

    • Central (Bengaluru / NCR / remote-OK)
    • Central academic

    Own Track A end-to-end: modules, labs, assessments, six-month refresh. Editor, not manager.

    What you would own
    • Own Track A curriculum and 6-month refresh cadence
    • Edit module contributions from resident faculty
    • Co-sign Skill Score rubric with employers
    • Publish version notes openly at /curriculum-library
    • Brief partner Vice Chancellors on track substance

    The bar

    • Senior ML practitioner with strong written-English chops
    • Has owned a curriculum, course, or rigorous internal training
    • Opinionated about content, generous with feedback
    • Will defend a choice in writing
    Apply for this role
  • OpenEngineering & platform

    Senior Engineer — Adaptive Learning Platform

    • Central (Bengaluru / NCR / remote-OK)
    • Engineering & platform

    Build the per-student capability dashboard and adaptive routing engine that powers Principle 9.

    What you would own
    • Ship the adaptive routing engine
    • Build per-student and per-cohort dashboards for Deans
    • Integrate with Skill Score rubric and assessment flow
    • Own data model + DPDP-compliant data handling
    • Partner with curriculum leads on telemetry that matters

    The bar

    • 6+ yrs full-stack with one strong domain (data, ML infra, or product eng)
    • Has shipped a production system with real users
    • Cares about education outcomes, not engagement metrics
    • Treats DPDP as a feature, not a tax
    Apply for this role
  • OpenOperations

    Partnerships Lead — South India

    • Central (Bengaluru / NCR / remote-OK)
    • Operations

    Turn serious VC/Dean conversations into signed, staffable, on-campus programs across Karnataka, Tamil Nadu, Kerala, Telangana, AP.

    What you would own
    • Run the end-to-end partnership cycle from intro to MoU to launch
    • Hold the integrity line: never sign a campus we cannot staff
    • Brief leadership on pipeline weekly
    • Co-author placement-defensible numbers
    • Partner with resident faculty on campus launch

    The bar

    • Education-sector operator, ed-tech BD lead, or university COO background
    • Can read an academic-council politics map
    • Will say no to a deal that violates Principles 1, 2, or 5
    • Three-year horizon, not three-month
    Apply for this role
  • Founding cohortFounding team

    Chief of Staff — Founding Team

    • Central (Bengaluru / NCR / remote-OK)
    • Founding team

    Right-hand to the founders across academic, ops, and partnerships. High-judgement generalist role.

    What you would own
    • Run the founders' decision cadence
    • Own cross-functional rollouts (curriculum refresh, campus launch, hiring waves)
    • Author board and partner-facing memos
    • Hold the line on Ethos when speed pressure hits
    • Stand in for a founder in serious conversations

    The bar

    • Has been a Chief of Staff or founding-team operator in education or B2B SaaS
    • Writes the document the dean would forward
    • Calm under VC and partner pressure
    • Reads the Ethos and recognises themselves in it
    Apply for this role

What we hire for

Three properties, in this order. Principle 7, verbatim.

  1. Practitioner background

    Currently building with AI, not just lecturing about it. Has shipped real systems within the past three years.

    In an interview: We will read your code, your designs, or your published work — whichever is the strongest evidence.

  2. Teaching aptitude

    Can explain a transformer to a tier-3 first-year as well as to an IIT senior. Capability is necessary, not sufficient.

    In an interview: We run a teach-back exercise. You pick a concept; we play the cohort.

  3. Cultural fit (humility)

    Believes the B.A. English student deserves the same teaching quality as the B.Tech topper. If you don't, we're a bad fit.

    In an interview: Reference checks weight this above the first two. Speed of disagreement matters more than charisma.

What working here looks like

The actual employee value proposition.

Industry compensation

We pay our resident faculty competitively with industry, not academia. Per ETHOS Principle 7.

On-campus rotation

Resident faculty live where students live. Roles rotate across partner campuses on a 1–2 year cadence.

Curriculum every 6 months

You ship versioned curriculum, not lectures. Outdated content is treated as a defect.

Industry in the room

You teach alongside working AI engineers — every week, on every partner campus.

Apply

Tell us about yourself.

Seven fields. We read every application. We reply within ten working days. The next step, if there is a fit, is a 30-minute call with the hiring lead for the role you applied to.

Equal opportunity. We hire on merit and humility. We do not collect caste, religion, gender identity, or disability data in this form. Reasonable accommodation is available on request via careers@withkompas.com.

Other paths in

See who already works here. Or read the constitution we hire against.

The teamThe ethos