Product Manager – AI Task & Prompt Design Job at AquSag Technologies (Noida)

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

Principal Product Manager, AI

LogicMonitor® is the AI-first hybrid observability platform powering the next ge...

Location

India , Pune

Salary:

Not provided

LogicMonitor

Expiration Date

Until further notice

Requirements

8 to 9 years of product management experience, ideally in B2B software
Strong hands on fluency with AI powered products and how modern AI systems work
Proven experience owning products end to end in ambiguous environments
Strong customer instincts and comfort being customer facing
Ability to think strategically while executing tactically
Clear communicator who can align teams without relying on authority
Bias for action and comfort with scrappy execution

Job Responsibility

End to end ownership of major Edwin AI product areas from discovery to delivery to adoption
Deep customer engagement to uncover real problems and validate solutions
Clear product strategy and roadmap grounded in customer value, data, and business outcomes
Hands on collaboration with engineering, design, GTM, and applied AI teams
Product decisions across AI capabilities including agents, workflows, and intelligent experiences
Success metrics like adoption, usage, customer impact, and business outcomes
Spend real time with customers through calls, demos, feedback sessions, and follow ups
Translate messy customer problems into crisp product bets and shipped features
Work closely with engineers on scope, tradeoffs, and delivery details
Get hands on with AI concepts like prompting, evaluations, agent behavior, and failure modes

Senior Product Manager, Mobile Conversational AI

As a Senior Product Manager, Mobile Conversational AI, you will define and lead ...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

5+ years of digital/software product management experience
2+ years of hands-on product experience with conversational AI, virtual assistants, chatbots, voice interfaces, or LLM-powered products
Proven ability to own and ship a customer-facing experience end-to-end in a complex environment with many upstream dependencies
Strong understanding of LLMs, prompt design, retrieval, evaluation methods, and the trade-offs between model quality, latency, and cost, sufficient to make informed product decisions and partner credibly with AI/ML teams
Demonstrated success partnering with platform, backend, and agent teams to compose a single coherent product experience from independently delivered services
Excellent UX intuition for mobile, with experience working with Design on novel interaction patterns where best practices are still emerging
Expertise in defining metrics and using analytics, experimentation, and user research to drive product decisions
comfortable with tools such as Adobe, Mixpanel, Firebase, SQL, or equivalent
Strong written communication and narrative skills, able to articulate vision, strategy, and trade-offs clearly to engineers, designers, and senior executives
Demonstrated success leading cross-functional initiatives in fast-paced, matrixed organizations

Job Responsibility

Own the long-term vision, roadmap, and KPIs for the mobile conversational AI experience across iOS and Android, defining what 'great' looks like for customers interacting with GM via natural language
Lead the end-to-end customer experience, including entry points, conversation UI, voice and text modalities, response formatting, error handling, hand-offs to humans or deeper app flows, and continuity across sessions
Partner closely with agent, platform, and backend services teams to integrate new conversational use cases into the mobile experience, defining clear contracts, latency and quality expectations, and a consistent customer experience across agents built by different teams
Develop the interaction design system for conversational AI in collaboration with Design and Research, covering tone of voice, prompt patterns, suggested actions, citations/disclosures, and fallback behaviors
Define and drive the trust, safety, and quality bar for the experience, including policies for accuracy, transparency, escalation, and customer feedback loops
Establish success metrics (task completion, containment, CSAT, latency, deflection, engagement, retention) and build dashboards and review rituals to track and improve them over time
Run a continuous experimentation and evaluation program, A/B tests, prompt and model evaluations, and qualitative research, to iteratively improve customer outcomes
Work with Legal, Privacy, Cybersecurity, and Responsible AI partners to ensure the experience meets GM's standards for data handling, consent, and responsible AI
Collaborate with Customer Care, Marketing, and Brand teams to align the conversational experience with broader customer journeys and to surface insights from real conversations back into the product organization
Be the voice of the customer for conversational AI inside GM, communicating strategy, progress, and trade-offs clearly to senior stakeholders

Fulltime

Staff AI Product Engineer

Staff AI Product Engineer (Prague/Brno/Remote EU) - Product Engineering at Produ...

Location

Czech Republic , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Strong backend development skills in Python, Kotlin, or Java, with experience designing and evolving service-level logic and infrastructure
Proven ability to own features end-to-end across backend and frontend systems
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading. You’re excited to rethink codebases, APIs, and documentation so AI agents can reliably operate and scale
You use AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow — constantly experimenting, refining prompts, and pushing them to meaningfully increase your speed and output
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Extra credit: Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures

Job Responsibility

Build AI-first product features
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Optionally join a team building LLM-powered workflows that process and categorize unstructured feedback from multiple sources, turning it into actionable user insights
Drive discovery and experimentation across different domains by building MVPs and POCs, discussing findings with engineers and product teams, and shaping execution plans
Collaborate closely with product managers and designers to shape what we build, not just how we build it
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

Staff / Senior AI Product Engineer

The way software is built is changing, and fast! Engineers who embrace AI-nativ...

Location

Czechia , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Deep hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading. You’re excited to rethink codebases, APIs, and documentation so AI agents can reliably operate and scale
You rely on AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow — constantly experimenting, refining prompts, and pushing them to meaningfully increase your speed and output
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Able to lead complex technical initiatives end-to-end, raising the bar for architecture, quality, and engineering culture
Candidates must have the legal right to work in the EU

Job Responsibility

Building AI-powered product features
Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

Staff / Senior AI Product Engineer

The opportunity The way software is built is changing, and fast! Engineers who ...

Location

Czechia , Prague

Salary:

Not provided

ProductBoard

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
Deep hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures
You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
You’re drawn to agent-native architecture and believe this is where software is heading
You rely on AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow
Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
Able to lead complex technical initiatives end-to-end, raising the bar for architecture, quality, and engineering culture

Job Responsibility

Building AI-powered product features
Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

What we offer

Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
Carrot Fertility Benefits
Free snacks, drinks, and yummy catered lunches
MultiSport card to access sports facilities
Flexible working hours and home office
Parental benefits

Fulltime

AI Prompt Engineer

UltaHost is developing advanced AI-driven tools, including UltaAI and UltaBuilde...

Location

Salary:

Not provided

UltaHost

Expiration Date

Until further notice

Requirements

2+ years of experience with LLMs, AI writing, or chatbot development
Strong English writing skills with excellent clarity, logic, and tone control
Experience using GPT, Claude, Mistral, or other LLM APIs
Understanding of prompt injection risks, memory limitations, and hallucination mitigation
Familiarity with prompt engineering tools or platforms (LangChain, PromptLayer, etc.)
Ability to structure prompt templates for dynamic data and conditional logic
Clear understanding of UltaHost products and user journeys (training will be provided)

Job Responsibility

Design, write, and optimize high-quality prompts for LLMs used in UltaHost’s AI agents
Build logic flows and behavioral frameworks for AI support tools and automation
Work with developers to integrate prompt logic into backend and frontend applications
Test different model outputs across contexts (support, onboarding, builder tools, sales)
Fine-tune prompt-based workflows to improve accuracy, tone, and task completion
Monitor user feedback and refine prompts for performance, alignment, and usability
Collaborate with Product Managers and AI Engineers on intent mapping and multi-turn dialogues
Document prompt libraries and maintain consistent standards across projects

What we offer

Competitive salary and project-based bonuses
Flexible remote work
Opportunity to work on industry-first AI hosting tools
Direct impact on the AI voice and behavior of UltaHost
A fast-moving environment with room for creativity and experimentation

Fulltime

Technology Product Owner -AI - Vice President

This is a senior level position responsible for leading variety of Solution Arch...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of relevant experience in Business Architecture, Analysis, Solution Design, and/or Product roles
Experience working in Financial Services or a large complex and/or global environment
Proven track record of operational process engineering, change and improvement
Project / Program Management experience
Strong hands-on experience with Agile delivery, product management, and value stream methodologies
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Proven track record in producing high-quality project artifacts.
Demonstrated analytic & diagnostic skills
Ability to work in a matrix environment and partner with virtual teams

Job Responsibility

Develop solution design options for enterprise-wide initiatives, evaluate the art of the possible, and devise recommendation options across several evaluation dimensions
Serve as a technology subject matter expert for internal and external stakeholders and provide direction for all firm mandated controls and compliance initiatives, all projects within the group and in creating a technology domain roadmap
Evaluates and tests potential architecture solution designs to ensure they meet functional and non-functional requirements
Ensure that all integration of functions fulfill business goals
Define necessary system enhancements to deploy new products and process enhancements
Identify problem causality, business impact and root causes
Exhibit knowledge of how own specialty area contributes to the business and apply knowledge of competitors, products and services
Strong experience in data structures and its impact on design principles as well as proposals
Advise or mentor junior team members
Impact the solution design by influencing decisions through advice, counsel or facilitating services

Fulltime

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Product Manager – AI Task & Prompt Design

Job Description

Job Responsibility

Requirements

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