AI Product Manager Job at InfoGrowth (Hyderabad)

AI Product Manager

Get to Know Us: It's fun to work in a company where people truly believe in what...

Location

United States , New York

Salary:

133000.00 - 167000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

3+ years in corporate accounting executing across month-end close tasks
Bachelor's in Accounting, Finance, or a related field
Deep familiarity across ERP platforms like SAP, NetSuite, or Sage Intacct
Deep familiarity with the month end close process for a corporate accounting team
Clear, concise communicator with strong organizational hygiene to structure and manage multiple concurrent deliverables
Ability to translate technical accounting concepts to non-accounting stakeholders
Thrive in a fast-paced, in-person-first environment

Job Responsibility

Product Discovery & Client Partnership: Act as the primary product expert for our AI agents, guiding clients from initial design partnership through to successful adoption
Embed with client accounting teams to deeply understand their workflows, gather direct feedback, and translate their needs into actionable product requirements for the engineering team
Collaboration: Partner directly with engineering, design, marketing, and sales teams to ensure seamless product iteration and market fit based on client feedback
Compliance: Monitor the performance of and ensure that the quality of product outputs adhere to accounting standards by executing and improving on QA testing processes
Process Architecture: Maintain rigorous documentation of standard operating procedures, performance analytics, and quality assurance frameworks to ensure consistent execution and knowledge transfer across all involved teams

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime

AI product manager

At HubX we build mobile apps, used and loved by millions all around the world. W...

Location

Turkey , Istanbul

Salary:

Not provided

HubX

Expiration Date

Until further notice

Requirements

BS/MS in Software/Computer/Electronics/Industrial Engineering or related disciplines
Experience using and applying Large Language Models. You should know how to prompt-engineer them, how to evaluate them, and understand how they are tuned
Hands-on experience building or using LLM-powered agentic solutions
A healthy blend of general technical knowledge with a customer-focused mindset and empathy
Great communication skills and background knowledge for customers, stakeholders, and technical team
General knowledge of the ins and outs of development, UI/UX design and flows, agile framework, software development, scrum approach, and IT infrastructure
A desire to work in a fast-paced, results-driven environment

Job Responsibility

Creating business analysis documents, test cases, mockups, and prototypes to assist with development, including leveraging AI tools (e.g., LLMs) to accelerate documentation, generate scenarios, and validate edge cases
Analyzing metrics to understand customer and product performance, incorporating AI-driven insights (e.g., model outputs, user interactions with AI features, prompt success rates) to guide product decisions
Staying in sync with team members using agile approaches, while adapting workflows to support rapid experimentation and iteration of AI-powered features
Attending grooming sessions with the development team to clarify requirements, including defining AI-specific behaviors (e.g., prompts, expected outputs, fallback scenarios) and ensuring the team understands both product and model-related objectives
Partnering closely with technical teams by bringing clear, structured requirements to engineers, and actively contributing to discussions around LLM capabilities, constraints, and implementation trade-offs
Running qualitative and quantitative research to define ambiguous problems, including evaluating where AI/LLMs can provide value and validating hypotheses through data and experimentation
Designing, testing, and iterating on prompt strategies
understanding prompt engineering techniques and how they impact model performance and user experience
Evaluating LLM outputs using structured approaches (e.g., accuracy, consistency, safety, and relevance), and working with teams to improve model performance through fine-tuning or prompt adjustments
Collaborating on or contributing to the development of LLM-powered or agentic solutions, understanding how multi-step AI workflows operate and how they integrate into the product experience

What we offer

Huge impact
Ownership, opportunity to take responsibility from day one
A competitive compensation package
A brand new Macbook and welcome kit
Private Medical Insurance & HPV Vaccine & Critical Women’s Health Coverage
Gym Reimbursement
A unique and top-notch office
Unlimited coffee from XPresso
Limitless Snacks & breakfast
Continuous education

Fulltime

AI Product Manager

We are currently seeking a AI Product Manager to join our team in New york, New ...

Location

United States , New york

Salary:

78948.00 - 131700.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, or equivalent
10–15 years of experience with significant product management exposure
5 + yr Experience leading large-scale AI/ML or cloud-based product initiatives
5 + yrs Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps
5 + yrs Ability to engage deeply with engineering teams on technical topics
Strong communication skills for technical and non-technical stakeholders
Experience working in fast-paced, cross-functional environments
Strong analytical and data-driven decision-making skills
Proven ability to influence without direct authority

Job Responsibility

Define product vision, strategy, and roadmap for agentic AI systems
Translate user pain points into product requirements, user stories, and success metrics
Lead end-to-end lifecycle for LLM-based products from discovery to iteration
Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops
Drive integrations with observability, incident management, and deployment systems
Conduct user research and translate production challenges into roadmap priorities
Own AI safety, governance, reliability, and fallback strategies
Define and monitor KPIs such as cost, latency, and user satisfaction
Own data and knowledge strategy including RAG pipeline and data validation
Lead product design reviews and promote data-driven experimentation

What we offer

medical insurance
dental insurance
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match

Fulltime

AI Product Manager

As our AI Product Manager, you’ll be defining and delivering the next generation...

Location

Serbia , Belgrade

Salary:

Not provided

Sokin

Expiration Date

Until further notice

Requirements

Fintech & Payments Expertise: Experience building products in fintech space — specifically in payments, treasury, FX, or financial infrastructure
Strong understanding of traditional payment rails and protocols (SEPA, Faster Payments, ACH, SWIFT) and how they intersect with emerging technologies like stablecoins and blockchain-based settlement
Understanding of how card acquiring works, the key players in the payment processing chain, and the mechanics of cross-border money movement
Understanding of how stablecoins work across different setups and blockchains
Comfort working with compliance, risk, and legal stakeholders, and understand the regulatory landscape for financial services, including PCI-DSS, PSD2/PSD3, GDPR, and SOC 2
Agentic AI & Technical Depth: Hands-on experience with the latest LLMs and AI models (from Anthropic, OpenAI, Google, and open-source providers), with a deep understanding of their capabilities, limitations, and cost/performance trade-offs
Understanding of the architecture and design patterns behind agentic AI systems — multi-agent orchestration, tool use and function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows
Familiarity with emerging agent interoperability standards such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol, and understand their implications for building composable, production-grade AI products
Ability to design and evaluate AI systems using modern evaluation frameworks (evals, benchmarks, red-teaming) and understand the difference between measuring traditional software and probabilistic AI outputs
Experience with or strong understanding of prompt engineering, fine-tuning strategies, and the trade-offs between different AI deployment approaches (API-based, self-hosted, edge)

Job Responsibility

Define and communicate the AI product roadmap aligned to the company’s vision across payments, treasury, compliance automation, and agentic commerce
Identify and prioritise high-impact use cases for agentic AI across Sokin’s product suite, from autonomous reconciliation and intelligent payment routing to AI-driven KYC/AML workflows
Work directly with a cross-functional team of AI/ML engineers, data scientists, and platform engineers to deliver value iteratively and often
Conduct market research and competitive analysis to stay ahead of trends in LLMs, AI agents, agentic payments, and fintech automation
Spend time with customers and internal stakeholders to discover new AI product opportunities, identify improvements, and validate solutions
Collaborate with engineering, design, compliance, marketing, and sales teams to assess the value, feasibility, viability, and safety of AI-powered solutions
Define product requirements for AI systems, including model selection criteria, evaluation frameworks (evals), guardrails, latency targets, and human-in-the-loop checkpoints
Own the responsible AI framework for your products, ensuring fairness, explainability, auditability, and compliance with the EU AI Act and relevant financial regulations
Work closely with product marketing and sales to articulate the value of AI features and launch new products to clients
Monitor AI product performance using both traditional product metrics and AI-specific evaluations (accuracy, hallucination rates, agent task completion, cost-per-inference) to drive continuous improvement

What we offer

Agile, flexible working culture
Inclusive work environment
Opportunity to shape the future of payments

Fulltime

AI Product Manager

Velvetech is looking for an AI Product Manager to drive the discovery, definitio...

Location

United States

Salary:

Not provided

Velvetech

Expiration Date

Until further notice

Requirements

5+ years of experience in product management, delivery management, or consulting
Experience working with enterprise clients
Strong understanding of AI/ML capabilities and limitations
Proven ability to define product scope and prioritize effectively
Experience working in Agile environments
Strong stakeholder management and communication skills
English proficiency sufficient for direct client communication

Job Responsibility

Lead AI discovery workshops and identify high-impact use cases
Define product scope, success metrics, and roadmap for AI initiatives
Collaborate with architects, engineers, and data teams to shape feasible solutions
Translate business requirements into structured delivery plans
Prioritize features based on value, feasibility, and ROI
Manage stakeholder expectations and alignment
Monitor delivery progress and ensure outcome-driven execution
Support pre-sales activities by helping shape AI proposals and solution approaches
Track performance and business impact after solution launch

What we offer

Groundbreaking AI project work
Competitive salary
Career growth opportunities in a fast-paced tech-driven company
Result oriented culture, collaborative and highly innovative work environment

Fulltime

AI Product Manager

We are looking for an AI Product Manager to own and elevate our customer experie...

Location

United States , San Francisco, CA or New York, NY

Salary:

Not provided

Eight Sleep

Expiration Date

Until further notice

Requirements

5+ years of experience in operations, technical product/program management, or a related technical field
Proven experience with prompt engineering, LLM based products, or other AI/ML products
Experience training, evaluating, and improving AI agents or chatbots
Strong judgement and analytical skills with the ability to assess AI performance objectively and make data-driven decisions
Ability to work independently and drive projects from conception to completion
Excellent communication skills to translate technical AI concepts for non-technical stakeholders
Comfort with ambiguity and the ability to define structure in a fast-moving environment
Experience building no-code/low-code automation tools

Job Responsibility

Build and deploy AI powered tools to make the broader Customer Experience (CX) team more efficient
Own the end-to-end AI agent utility and quality for our customer support platform
Evaluate AI performance rigorously
Expand coverage to more support case types while maintaining high quality standards
Analyze customer interactions to identify gaps in AI coverage and prioritize improvements
Develop and track KPIs for AI performance including resolution rate, accuracy, and customer satisfaction
Work closely with engineers to identify and implement automation opportunities
Collaborate with CX managers to understand agent pain points and translate them into AI improvements
Create documentation and training materials for AI-assisted workflows
Lead the development of internal AI-powered tools like our internal diagnostic tool and AI-powered ticket analysis pipeline

What we offer

Equity participation
Periodic equity refreshments based on performance
Every employee receives a Pod (product)
Other benefits (details at eightsleep.com/careers)

Fulltime

AI Product Manager

Scale is at the forefront of enabling Machine Learning across multiple industrie...

Location

United States , San Francisco

Salary:

237600.00 - 297000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Entrepreneurial experience and mindset
Strong software engineering background (a degree in computer science or equivalent experience)
8+ years of experience in a customer-facing and product-facing role
Excited to do intense, high-impact work
Experience working on operational problems
Ability to solve difficult problems in high-stakes environments

Job Responsibility

Lead cross-functional initiatives with diverse ducts or enhance existing ones to fulfill the needs of strategic customers (Engineering + Ops + Go to Market)
Build technical partnerships with AI researchers and product teams, and lead the development of new data strategies to advance model development
Drive overall strategy and offer actionable market, competitive, and data insights for strategic customers
Experiment and develop frontier data sets that push the boundaries of AI model development

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend
equity grant

Fulltime

AI Product Manager

Scale has been the leading AI data foundry, helping fuel the most exciting advan...

Location

United States , San Francisco

Salary:

206800.00 - 258500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up
6+ years of experience in product management or a customer-facing role
Technical fluency: Software engineering background (a degree in computer science or equivalent experience)
Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation
Strong customer intuition and the ability to translate technical requirements into impactful product decisions
Bias for action and comfort wearing multiple hats and operating in fast-moving environments

Job Responsibility

Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams
Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical
Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities
Scope out and scale the creation of RL environments that simulate real-world use cases
Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

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