Technical Product Manager

4 days ago

Delhi, Delhi, India TheThreeAcross Full time

Location : Anywhere in India.

Work Mode : Remote.

Interview Mode : Virtual Face-to-Face.

Mission :


Drive the future of responsible AI innovation by leading the design, development, and delivery of cutting-edge AI safety services and platforms.

Key Responsibilities :

Team Leadership & Strategy :


- Lead and mentor a cross-functional team of AI engineers, platform engineers, and a product manager.

- Set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.

- Implement agile processes to ensure speed, security, and quality in Innovation :


- Partner closely with clients to understand their AI safety goals, challenges, and integration needs.

- Translate customer requirements into actionable roadmaps aligned with innovation cycles.

Platform Development & Delivery :


- Oversee the creation of tools for :

1. Alignment assessment.

2. Adversarial testing.

3. Drift detection.

4. Interpretability analysis.

- Make strategic build-vs-buy decisions to accelerate customer success.

Engineering Excellence :


- Implement and enforce best practices in secure coding, automation, monitoring, and Maintain high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.

Continuous Innovation :


- Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.

- Pilot and integrate emerging techniques to improve AI deployment speed and safety.

Qualifications & Experience :

Must-Have :


- 5+ years in software engineering, including 2+ years in a leadership role.

- Proven experience delivering AI/ML or data-intensive platforms.

- Strong background in coaching and talent development.

- Excellent communication and cross-functional collaboration skills.

Technical Proficiency :


- Languages/Frameworks : Python, TensorFlow, PyTorch, JavaScript, HTML/CSS.

- Tools : Docker, Kubernetes, REST APIs, SQL/NoSQL databases.

- Cloud Platforms : AWS, GCP, or Azure.

- Understanding of LLMs, prompt engineering, and adversarial testing.

Nice to Have :


- Familiarity with LangChain, LangGraph.

- Experience with distributed systems (e.g., Spark, Flink).

- Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001).

(ref:hirist.tech)

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