remote data science manager Jobs – 132 Open Jobs Today

Senior Product Manager - Autonomous Agents
Netomi —Remote
- Full-time
- Remote
- Engineering
- Research
- Master's degree
Quick apply
Analyst
Precision AQ —Remote
- Online application
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Computer Science
Quick apply
Technical Lead / Engineering Manager, Full Stack - Gen AI (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Data analysis skills
Manager Engineering
Insight Software —Remote
- Full-time
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- Azure
- Oracle
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MNJ Software —Remote
- Full-time
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- Computer Science
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- English
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Analyst
Precision Medicine Group —Remote
- Online application
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- Microsoft Powerpoint
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Senior Software Engineer
UDCYDE —Remote
- ₹10,00,000.00 - ₹20,48,961.19 a year
- Full-time
- Remote
- Azure
- Computer Science
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- Health insurance
- Flexible schedule
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1d
Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
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AI/ML Engineer II
Precision Medicine Group —Remote
- Online application
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- Microsoft Excel
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Technical Product Manager
SupplyHouse.com —Remote
- ₹37,000 - ₹46,000 a year
- Full-time
- Remote
- Azure
- English
- Java
- Paid time off
- Work from home
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Analytics Engineer
Deltek, Inc. —Remote
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2d
Lead Engineer - Test Automation & Tools Development
Moniepoint —Remote
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Quick apply
Machine Learning Engineer III
Avalara —Remote
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Principal Clinical Programmer (Spotfire/Power BI Prog)
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4d
Technical Account Manager
Astra, Inc. —Remote
- Overnight shift
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Staff Product Manager - (Customer Retention - Platform)
HighLevel —Remote
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Senior Programmer
PHASTAR —Remote
- Part-time
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- Computer Science
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Software Engineer
UDCYDE —Remote
- ₹8,00,000.00 - ₹12,83,506.98 a year
- Full-time
- Remote
- Azure
- Computer Science
- Java
- Health insurance
Quick apply
11d
Senior Frontend Developer@ PEOPLE10 (Remote)
People10 Technosoft —Remote
- Full-time
- Remote
- Computer Science
- Java
- Master's degree
10d
ELK Stack Admin
MNJ Software —Remote
- Full-time
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- Azure
- English
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Senior Product Manager - Autonomous Agents

Netomi -
Remote

Quick apply

Job details

Full-time

Qualifications

Telephony
Law
Software deployment
Engineering
Research
Master's degree
Distributed systems
Product management
SDKs
APIs
AI
MBA

Full job description

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role

Netomi is hiring a Senior Product Manager to own the product strategy and execution roadmap for Autonomous Agents in the conversational AI domain. This role is responsible for defining how Netomi’s agents reason, plan, execute multi-step tasks, and collaborate across channels—from chat and voice to email and messaging—in production-grade enterprise environments.

You will work at the intersection of agentic AI research, real-world enterprise deployments, and platform reliability. You will define what autonomous agents look like for Netomi customers: how they understand goals, invoke tools and APIs, manage state across long-horizon tasks, recover from failures, and hand off gracefully to human agents when needed.

You should understand what ‘successful autonomous agent deployment’ looks like in production: multi-turn reasoning loops, tool/workflow execution reliability, memory and context management, human-in-the-loop escalation, observability of agent behavior, and cost/latency constraints at enterprise scale.

Responsibilities

Own the Autonomous Agents roadmap end-to-end: problem discovery, prioritization, spec writing, delivery coordination, and outcome tracking.
Translate enterprise customer and partner needs into product requirements, working closely with Customer Success, Delivery, and Sales/RevOps.
Partner with Applied Research and Data Science to define evaluation criteria, benchmark programs, and quality gates for agentic AI capabilities.
Drive cross-functional alignment across Engineering (Runtime, Studio, Channels, SDKs), QA, and Delivery on scope, dependencies, and launch readiness.
Establish instrumentation requirements and ensure every shipped agent capability has the telemetry needed to measure usage, reliability, and outcomes.
Run planning and execution cadence: quarterly roadmap inputs, monthly scope lock, weekly execution reviews, and launch readiness sign-offs.
Drive post-release learning: monitoring windows, post-incident reviews (PIRs), and systematic feedback loops into roadmap planning.

Requirements

Engineering degree with 5+ years of progressive product management experience; an MBA from a Tier 1 institute is a plus.
Proven ownership of a complex, multi-surface product area with demonstrated delivery of technical features to enterprise customers.
Deep understanding of conversational AI and agentic systems, including:
LLM-based reasoning, tool calling, and multi-step task execution.
Agent orchestration patterns (supervisor/sub-agent, planning loops, HITL escalation).
Evaluation methodologies for AI systems: task completion, goal accuracy, regression, and drift.
Production observability for AI agents: tracing, logging, alerting, and failure analysis.
Strong technical fluency: APIs, distributed systems, cloud environments, and AI/ML deployment workflows.
Excellent stakeholder leadership and executive communication; ability to drive alignment across research, engineering, and GTM without direct authority.
Customer-first mindset with experience translating enterprise customer needs into clear, actionable product requirements.

Preferred Qualifications

Experience building or shipping AI agent products at a conversational AI, NLU, or enterprise AI platform company.
Familiarity with agentic frameworks and protocols (e.g., LangChain, LangGraph, Model Context Protocol, OpenAI function calling, tool-use patterns).
Experience supporting regulated or mission-critical environments (financial services, airlines/telephony, healthcare, payments).
Experience working with large SI/partner ecosystems and coordinating enablement and customer success programs.
Background in or strong familiarity with progressive delivery (feature flags, canary rollouts), incident management, and post-incident learning disciplines.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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