Careers

Explore Open Roles at ThirdAI
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Backend Engineer

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We are seeking skilled and experienced Backend Engineers to join our team at ThirdAI Automation. In this role, you will design and develop scalable backend systems and APIs, optimize performance, implement security measures, and collaborate with cross-functional teams to deliver AI-driven solutions that transform industrial operations.

Key Responsibilities

Design, develop, and maintain scalable backend systems and APIs.
Collaborate with front-end developers, product managers, and other stakeholders to define and implement new features.
Optimize application performance and improve system efficiency.
Implement security and data protection measures.
Participate in code reviews and contribute to our engineering best practices.
Troubleshoot, debug, and upgrade existing systems.
Stay up-to-date with emerging trends and technologies in backend development.

Requirements:

3+ years of experience as a Backend or Full-stack Engineer.
Strong proficiency in Python or Node.js, with the ability to write clean, efficient code.
Extensive experience in developing web backends, preferably end-to-end applications.
Solid understanding of database technologies (SQL and NoSQL).
Experience with RESTful API design and implementation.
Proficiency in version control systems, particularly Git.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.

Preferred Qualifications:

Degree from a Tier 1 college (IIT/NIT) or equivalent work experience in reputable companies.
Significant contributions to personal projects or open-source initiatives.
Experience with cloud platforms, preferably AWS.
Familiarity with CI/CD practices and tools.
Knowledge of application performance monitoring systems (e. g., Sentry, Datadog, or similar).
Experience with AI coding tools and their integration into development workflows.
Understanding of containerization technologies (e. g., Docker, Kubernetes).

Location: Remote

Research & Development

Applied Scientist - Machine Learning

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We are seeking experienced and accomplished Applied Scientists for Machine Learning (ML) to join our team. In this role, you will be responsible for developing cutting-edge ML algorithms, collaborating with cross-functional teams, and driving the scaling and productization of ML solutions.

Key Responsibilities

Develop advanced Machine Learning algorithms in time-series domains
Collaborate with other applied scientists on algorithm development
Work with engineering teams on ML productization
Partner with Product Managers on use cases and benchmarking
Lead projects independently in dynamic environments
Contribute to patents and technical publications
Develop LLM based pipelines

Requirements:

BS/MS/Ph.D. in AI, ML, CS, EE or related field
1-3 years ML research experience (varies by degree)
Python, R, C++, or Java programming experience
Expertise in LLMs and RAG architecture
Experience with large-scale ML systems
Strong collaboration and communication skills
Passion for industrial AI innovation

Location: Remote

Product Manager – RCA / ML Platform

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We are building an AI native root cause analysis (RCA) and troubleshooting platform for industrial operations, starting with highvalue, complex manufacturing environments like semiconductor fabs. As Product Manager, you will own the end to end product lifecycle for our RCA, ML product line & Data platform – from problem definition and roadmap to launch, adoption, and iteration.

You will work closely with customers, founders, data/ML, engineering, and UI to turn messy operational problems into clear product requirements & features . This is a high ownership role in an early stage startup where your decisions will directly shape what we build and how quickly we get to product market fit.

Key Responsibilities

Define and own the product vision, strategy, and roadmap for the RCA, ML & Data platform, aligned with company and customer goals.
Deeply understand customer workflows (alerts, incidents, excursions, yield issues) and translate them into clear problem statements and product requirements & features.
Partner with Sales, engineering, data/ML, and design to decide what to build, prioritize the backlog, and ship impactful features on a predictable cadence.
Work with ML and data teams to shape RCA capabilities: data sources to support, model outputs users see, feedback loops, and evaluation metrics.
Collaborate with the UI/UX team to define the “why” and “what” and to design intuitive workflows for investigation, triage, and root cause exploration.
Define and monitor success metrics (adoption, time to root cause, incident resolution time, user engagement) and use them to drive prioritization.
Run customer discovery and validation: interviews, pilots, usability sessions, and onsite visits; feed learnings back into roadmap and design.
Align stakeholders across sales, CS, and leadership, clearly communicating tradeoffs, priorities, and product decisions.
Stay on top of ML / observability / industrial analytics trends and competitive landscape to inform strategy and differentiation.

Must Have Qualifications :

4–8 years of product management experience in B2B software, with at least 2+ years on data, ML, analytics, or platform products.
Strong track record of owning a product/area end to end: discovery, PRD/specs, execution with engineering, and postlaunch iteration.
Ability to work with technical teams (data engineers, ML engineers), you are comfortable discussing data pipelines, model outputs, and APIs, even if you don’t write the code
Experience prioritizing under constraints using clear frameworks (impact vs effort, customer value, strategic fit) and saying “no” when needed.
Excellent communication and storytelling skills, can turn complex technical capabilities into simple narratives and workflows for customers and internal teams.
High ownership, bias to action, and comfort with ambiguity in an early stage startup environment.

Nice to Have:

Experience with products in observability, incident management, DevOps, data platforms, or industrial / manufacturing analytics.
Exposure to root cause analysis, causal inference, or reliability/quality engineering workflows.
Background working with industrial, IoT, or semiconductor data (equipment logs, sensor streams, MES, yield data, etc.).
Prior experience as a founder, early PM, or first PM in a startup.

Location and Work Setup

Location: Bengaluru, IN
Employment: Fulltime

What You Get

A front row seat in building a category defining RCA / ML platform for industrial operations.
Ownership of a critical product area with direct access to customers and leadership.
Competitive salary and meaningful equity.

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Get In Touch

Don’t let complexity slow you down.

See how Industrial AI can supercharge your operations.

ThirdAI Automation empowers engineers with agentic AI to pinpoint root causes, accelerate troubleshooting, and surface critical insights—reducing downtime and maximizing efficiency.
Reach out to discover how we can help transform your workflows.