---
title: 'Technical Support & Solutions Associate - Platform-as-a-Service (PaaS) at Karya'
canonical: 'https://feeny.ai/job/technical-support-solutions-associate-platform-as-a-service-paas-karya-bengaluru-4yrfyjr0ffxz'
type: 'job'
last_seen: '2026-09-08'
---

# Technical Support & Solutions Associate - Platform-as-a-Service (PaaS) at Karya

- **Company:** Karya
- **Location:** Bengaluru, India
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/karya/jobs/5388738008

## Job description

Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community driven.

## About the Role

Karya's PaaS vertical is the organization's global expansion arm, taking Karya's ethical data collection infrastructure to partners across Africa, Southeast Asia, and Latin America, deployed locally. This is one of Karya's largest bets: we're moving from a set of internally-run deployments toward a self-serve platform that partners can configure and operate themselves.

We're looking for someone to be the first line of defence on that front: triaging and resolving partner-facing technical issues, coordinating with engineering when something needs a real fix, and  critically - spotting the patterns behind repeat issues and scoping them as automation opportunities the platform team can build against. This role is explicitly built to evolve. As the platform gets more self-serve, the volume of manual triage should shrink and the expectation is that you grow with it, moving from first-line support toward solutions architecture: designing how partners configure and deploy the platform themselves, rather than fixing things alone.

## Key Responsibilities

- First-line technical support. Own initial triage for partner-facing technical issues — diagnose what's broken, resolve what you can directly, and route what you can't to engineering with enough context that it doesn't bounce back.
- Scope automation opportunities. Spot the pattern behind repeat issues and turn it into a scoped opportunity for the product team — what's repetitive, roughly what it would take to fix at the platform level, and what it would save.
- Client-facing communication. Talk to partners directly during issues — translating technical problems into plain language without underselling the problem or overwhelming a non-technical partner contact.
- Internal coordination. Sit between partners and engineers — chasing fixes, setting expectations on both sides, and making sure at-risk timelines are flagged on time.
- Read and modify code. Debug issues, make small fixes or configuration changes yourself where possible, and write precise, actionable bug reports for engineering when you can't.
- Grow into solutions architecture. As the platform becomes more self-serve, take on more of the deployment-design and configuration-architecture work that reduces the need for manual triage in the first place.

## What We Are Looking For

Experience: ~1–3 years, with:

-

- Tech stack: Python and Node.js
- Comfort reading and modifying code — you don't need to be a full-time engineer, but you should be able to debug real issues and make small fixes, not just describe them
- Exposure to client-facing or partner-facing work — this role talks to real partners during real problems, often ones who aren't technical themselves
- Great communication skills to translate complex problems into understandable issues and solutions
- Enough technical grounding to eventually take on solutions-architecture work — understanding of APIs, deployment models, and configuration-driven systems will matter more over time, not less
- Ability to handle pressure; partners come to this role when something's already broken
- A pattern-recognition instinct — the automation-scoping half of this job depends on noticing what's repetitive, not just closing tickets
- Comfort with a role that's designed to change — this isn't a fixed job description forever; the expectation is that both the work and the person's scope shift as the platform matures
- Genuine interest in Karya's mission — ethical data work, fair compensation for data workers, and community ownership of data are core considerations, not side context

What we Offer?

- Flexible leave and vacation policy

- Hybrid work options

- Insurance as per industry standards

- Access to leaders in technology and social impact

- Meaningful work at the intersection of AI, design, and equity

Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status.

## About Karya

## Core Business
- **Primary industry/industries**: AI Data Services, Language Technology, Ethical Data Collection, Impact Tech
- **Target customers**: B2B – AI labs (e.g., Google DeepMind, Microsoft), enterprises building multilingual AI systems, government and public-sector AI initiatives
- **Mission**: “Create dignified digital work that improves livelihoods while shaping AI systems that reflect the people who build them.” [karya.in](https://www.karya.in/about/mission/)

## Products & Services
- **Conversational Speech Datasets**: Large-scale datasets across 22 official Indian languages for speech recognition and conversational AI. [karya.in](https://www.karya.in/)
- **Evaluation Benchmarks (Samiksha)**: National-scale evaluation frameworks covering 6 Indian languages, 17 models, and 4 key domains (healthcare, agriculture, finance, law, education, public services). [karya.in](https://www.karya.in/)
- **Data Collection & Annotation Services**: Domain-specific transcription, localized translation, and multimodal dataset creation (including egocentric datasets for physical/embodied AI). [karya.in](https://www.karya.in/)
- **Karya Platform (PaaS)**: A digital work platform that distributes AI-data microtasks to rural workers, enabling human-in-the-loop evaluation and bias mitigation. [karya.in](https://www.karya.in/) and [linkedin.com](https://in.linkedin.com/company/karya-inc)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Total Funding**: USD $1,000,000 (grant from Google.org, led by Google.org, November 2024) [linkedin.com](https://in.linkedin.com/company/karya-inc)
- **Key Metric**: Over 130,000 workers have completed 65+ million paid digital tasks; 99 employees (45.8% YoY growth) [linkedin.com](https://in.linkedin.com/company/karya-inc)
- **Notable Investors/Partners**: Google.org (grant), Google DeepMind, Microsoft, partnerships with leading AI labs; expanded to Kenya and Ethiopia [karya.in](https://www.karya.in/about/mission/)
- **Growth Signals**: Launched Karya Institute (2025) to explore the future of work in AI; published research at CHI 2019 and LREC 2020; spun out of Microsoft Research; presented to Satya Nadella and Sundar Pichai [karya.in](https://www.karya.in/about/mission/)

## Competitive Advantages
- **Ethical & Inclusive Data Sourcing**: Karya’s platform directly benefits low-income rural workers by paying fair wages, differentiating itself from exploitative data labeling models.
- **Deep Focus on Underrepresented Languages**: Specializes in 22 Indian languages and underserved communities globally, creating datasets that major AI companies cannot easily replicate.
- **End-to-End Pipeline**: Offers data collection, annotation, evaluation, and deployment – a vertically integrated stack for multilingual AI.
- **Research-Backed Origin**: Born from Microsoft Research, giving it credibility and technical depth in crowdsourced work and language technology.

## Strategic Focus
- **Geographic Expansion**: Pilots in Kenya and Ethiopia to replicate the model for African languages and communities.
- **“Earn & Learn” Strategy**: Developing pathways for workers to gain skills and move out of poverty, combining earning with upskilling.
- **Karya Institute**: Research arm exploring the future of digital work and AI’s impact on low-income communities.
- **Product Diversification**: Moving beyond data collection into evaluation benchmarks and platform-as-a-service for enterprise clients.

## Why Work Here
- **Mission-Driven Culture**: Join a team committed to using AI for social impact – creating dignified work and inclusive AI systems.
- **Growth Trajectory**: Rapidly scaling (45% headcount growth YoY) with opportunities to shape operations, technology, and impact in India and Africa.
- **Work Policy**: Mix of office (Bangalore) and remote roles (e.g., Visual & Motion Designer Remote, Health Program Lead Remote) as seen on the careers page. [greenhouse.io](http://job-boards.greenhouse.io/karya)
- **Engineering & Research Focus**: Strong technical team (29% in technical roles) with backgrounds from Microsoft, Wadhwani AI, and top Indian institutes. Work on cutting-edge NLP, speech, and multimodal AI.
- **Notable Perks**: The chance to work directly with global AI labs (Google DeepMind, Microsoft) and present to top tech leaders. Limited employer reviews (2.0/5.0 from 1 review on LinkedIn) – candidate should research culture further.

## Sources
1. [karya.in – Homepage](https://www.karya.in/)
2. [karya.in – About/Mission](https://www.karya.in/about/mission/)
3. [LinkedIn – Karya Company Page](https://in.linkedin.com/company/karya-inc)
4. [Greenhouse – Karya Careers Page](http://job-boards.greenhouse.io/karya)

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