Sr Product Owner, Agentic AI Job at T-Mobile (Bellevue)

Sr. Director, Commercial AI Product Owner

The Commercial AI Product Owner will lead an AI product for the commercial AI Ac...

Location

United States , New York City

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

BA / BS with 12+ years of experience leading cross-functional commercial projects (graduate degrees can be substitute for experience)
Understanding of AI and machine learning frameworks and libraries
Experience in leading teams

Job Responsibility

Business engagement: Build strong relationships end customers to understand call workflows, identify pain points, and translate needs into product requirements
Roadmap ownership: Translate approved business cases into a pod roadmap with clear scope, milestones, success metrics, and risks, in partnership with Digital and marketing stakeholders
Backlog management: Own the intake, refinement, sizing, and prioritization of backlog items to maximize business value and impact to business teams within capacity constraints
Design readiness: Partner with translators and UX to define problem statements, message flows, prompts, and UI specifications tailored to field requirements, including designing the taxonomy to map barriers to each individual HCP
Governance alignment: Ensure compliance with data access, model approvals, risk controls, brand, and regulatory requirements before development begins
Pod leadership: Lead a cross-functional team of data science, ML engineering, full-stack, solution architecture, UX, agent ops, business translators through iterative development cycles
Release management: Oversee release readiness including test plans, go/no-go decisions, stakeholder alignment, and deployment execution with engineering/DevOps
Testing & monitoring: Conduct UAT and production smoke tests, validate guardrails and monitoring, and ensure systems meet SLOs/SLAs on latency, accuracy, availability, and cost
Enablement & adoption: Partner with the Change Management & Training Lead and cross functional partners to support change management and drive adoption, providing input on training and communications while ensuring consistency of in-product guidance and messaging from the core product and marketing teams
Issue resolution: Triage and resolve user issues, communicate updates and workarounds, and manage incident reporting trends

What we offer

Relocation assistance may be available based on business needs and/or eligibility.

Fulltime

Sr. Manager- AI Platform Lead

We are developing an Enterprise AI Platform to help all employees build, deploy,...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or equivalent practical experience with a total 12-17 years of industry experience
8+ years of engineering experience building/platforming cloud services or developer platforms, with 3+ years leading engineering teams or technical programs
Proven experience designing and operating cloud-native platforms (Kubernetes, containers, microservices, service meshes)
Hands-on experience with LLM serving or model-serving patterns (hosting models, request routing, batching, scaling, latency/cost tradeoffs) — or adjacent experience (large-scale inference endpoints, model CI/CD)
Practical knowledge of API/Gateway patterns, authentication/authorization, and secure integrations
Familiarity with cost attribution and FinOps concepts for compute/AI workloads and toolchains for measuring and controlling model/agent costs
Strong track record working with product managers and senior technical stakeholders to deliver platform capabilities and roadmaps
Excellent communication skills: able to explain technical tradeoffs to technical and non-technical audiences
Experience with observability and SRE practices (metrics, tracing, logging, incident management)

Job Responsibility

Provide technical leadership and clear, pragmatic product-centric architecture for our AI platforms
Translate product and business requirements into scalable platform capabilities (agent hosting, LLM serving, gateway/integration architecture, observability and operations)
Drive platform decisions around LLM serving (model endpoints, caching, batching, latency vs. cost tradeoffs), AI Gateways (routing, policy, rate-limiting, auditing), and agent hosting patterns (single/multi-tenant, sandboxing, lifecycle)
Own platform reliability, scalability and cost: define SLIs/SLOs, capacity planning, cost attribution and FinOps practices
Collaborate with Product Owners, Principal Engineers and stakeholders to define the roadmap, acceptance criteria, and delivery milestones
Lead, coach and grow a high-performing engineering team focused on platform services, integrations (low/no-code tooling such as n8n, and pro-code agent hosting frameworks like AgentCore or equivalents), CI/CD for agents/models, and marketplace features
Establish standards for security, compliance and model governance (data handling, access controls, logging and auditability), particularly for regulated environments
Be hands-on when needed — prototype architectures, review designs, troubleshoot production incidents, and participate in code/design reviews

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Fulltime

Sr Executive Strategy & Planning Manager

The Senior Executive Strategy & Planning Manager is a key member of a senior exe...

Location

United States , Bellevue

Salary:

109600.00 - 197800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree and 7 years of related work experience OR a combination of education and experience deemed equivalent
7-10+ years progressive experience and responsibility in corporate strategy, strategic planning, strategic operations, process design, or other strategic roles
Foundational experience (0-2+ years) supporting an enterprise-level senior executive or other high-profile executive-facing role
Communication - Strong written and verbal communication skills, including executive-ready writing for slides, briefing documents, and leadership memos
Communicates effectively internally, upward, and cross-functionally
Articulates visions, strategies, ideas, and proposals clearly and concisely
Quantitative Analytics - Strong analytical and structured-thinking skills, with the ability to synthesize quantitative inputs into clear executive narratives
Strong bias toward data-based decision making
Financial Planning - Ability to interpret financial and operational results and translate them into executive-ready insights
Enterprise Acumen - Strong organizational skills at the Executive level

Job Responsibility

Drives the P&E organization's rhythm of business and strategic agenda
Partners with senior leaders to shape agendas for key leadership forums based on progress against organizational priorities
Facilitates QGP tracking with support of operational teams, and drives quarterly goal-setting, bringing an informed initial perspective to the CIO and senior leaders to finalize
Designs, deploys, and manages AI agents that automate recurring analytical, reporting, and coordination workflows across the Chief of Staff team
Serves as the primary owner of the team's agentic workflow portfolio, building or directing builds, managing performance, and scaling successful solutions over time
Facilitates collaboration with cross-functional partners including Finance, Corporate Strategy, Consumer, Marketing, and Network across planning cycles and strategic projects
Creates and uses AI-assisted tools and processes to accelerate speed and improve the quality of executive-facing outputs
Delivers on special and ad hoc projects tied to P&E's strategic priorities
Navigates the organization to surface data points and insights needed for enterprise-level engagements such as executive briefings and business reviews
Prepares high-impact strategic materials including Board of Directors presentations and executive-level documents reviewed by the CEO and senior company leadership

What we offer

competitive base salary
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off
up to 12 paid holidays
paid parental and family leave

Fulltime

Lead Design System Engineer

This is a lead role where you will have the opportunity to drive bsport's design...

Location

France , Paris

Salary:

Not provided

Bsport

Expiration Date

Until further notice

Requirements

4+ years of front-end experience, with at least 1 year as the primary owner or lead contributor of a mature design system
designer's eye — attention to detail, taste for quality, and the ability to push back on 'good enough'
systems thinker: see redundancy, inconsistency, and debt across a codebase and know how to create order without slowing teams down
fluent in React and TypeScript
solid knowledge of web components and advanced CSS
follow the design systems space closely and have opinions
excited about how LLMs and agents change the way we think about component architecture and developer tooling
portfolio or GitHub that shows design system work — real components, potential decisions and real trade-offs
bonus: experience with animation, transitions, and performance-optimized motion
bonus: React Native experience, or appetite to learn

Job Responsibility

Lead the evolution of Kaizen, our B2B design system — architecture, component quality, documentation and adoption
Drive accessibility improvements across the board — keyboard navigation, ARIA compliance, mobile interactions
Own governance and standards: reduce redundancy, enforce consistency, and make sure product teams are building with the system, not around it
Progressively extend your ownership to Fabrique (B2C web, white-label) and Okaia (React Native mobile)
Define how our design systems become AI-ready — machine-readable structure, cursor rules, agent-friendly naming conventions
Bring vision on animation and micro-interactions to elevate the feel of our products
Collaborate closely with our Sr. Design System Product Designer, with no PM or EM in between — high autonomy, high impact

What we offer

Attractive compensation package
Hybrid model with 3 days per week in the office
Up to 15 days of remote work from abroad each year
Specially discounted HelloCSE membership
Multicultural colleagues, after-work events, team-building & more

Fulltime

Sr Machine Learning Engineer

Let’s do this. Let’s change the world. We are looking for a highly motivated exp...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Hands-on experience with AWS, Databricks, Apache Spark, PySpark, SparkSQL, Python, and SQL for large-scale data engineering
Strong proficiency in workflow orchestration, Spark performance tuning, and scalable batch and streaming data pipeline development
Experience with real-time data processing and integration using Apache Kafka, Debezium, or similar streaming technologies
Hands-on experience with MLOps tools and practices, including MLflow, model serving, feature stores, experiment tracking, deployment, and lifecycle management
Experience with GenAI engineering practices, including prompt engineering, LLM evaluation, AI observability, agentic workflows, and knowledge graphs
Ability to design and develop APIs or service interfaces for data, ML, and GenAI application integration
Experience with Agile/SAFe delivery models, DevOps practices, CI/CD concepts, and cross-functional team collaboration
Strong analytical, problem-solving, debugging, communication, and teamwork skills
Ability to quickly learn, adapt, and apply emerging technologies across data, ML, and AI engineering
Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of experience years of experience in Computer Science, IT or related field

Job Responsibility

Design, deploy, monitor, and optimize production-grade ML and Generative AI applications for AI-enabled manufacturing solutions
Define technical architecture, engineering standards, and best practices across data engineering, ML, GenAI, analytics, and platform capabilities
Partner with business stakeholders, product owners, and cross-functional teams to translate manufacturing challenges into secure, scalable, production-ready AI and data solutions
Design, develop, and maintain complex ETL/ELT pipelines in Databricks using PySpark, Scala, and SQL for large-scale structured and unstructured data processing
Build efficient ingestion, transformation, migration, and deployment pipelines across databases, APIs, logs, event streams, images, PDFs, documents, and third-party platforms
Design and implement GenAI solutions including RAG, embeddings, vector databases, agentic workflows, tool-calling systems, LLM orchestration, serving optimization, knowledge graphs, and metadata-driven retrieval
Build GenAI applications using frameworks and platforms such as LangChain, LangGraph, LlamaIndex, DSPy, OpenAI APIs, Amazon Bedrock, or equivalent technologies
Develop evaluation and observability frameworks to monitor model quality, hallucination rates, drift, retrieval effectiveness, latency, token usage, cost, reliability, operational health, and business impact
Build and maintain MLOps and LLMOps capabilities, including experiment tracking, model registry, prompt management, versioning, CI/CD, automated testing, deployment automation, monitoring, governance, and release controls
Design scalable data quality, validation, security, privacy, access control, logging, governance, and interoperability capabilities across hybrid cloud environments

Fulltime

Sr. IT Business Analyst

Sr. IT Business Analyst The Sr. IT Business Analyst (BA) leads requirements, en...

Location

United States , Bridgeton

Salary:

Not provided

VantageLinks

Expiration Date

Until further notice

Requirements

Advanced ability to translate business needs into strategic product roadmaps, well-structured user story hierarchies, and measurable Agile solutions
Expert-level experience leading requirements engineering within scaled Agile frameworks, translating enterprise-level needs into detailed story maps, process flows, and specifications for multiple delivery teams
Strong data literacy including SQL, data warehouse analysis, and AI-powered analytics platforms for advanced data-driven decision-making and predictive insights
Expert proficiency with enterprise Agile tools (e.g. Azure DevOps), AI productivity platforms, and Microsoft Office products
Previous experience facilitating and leading Agile ceremonies including backlog refinement, sprint planning, and cross-team coordination events for complex, multi-stream programs
Advanced experience with agentic AI tools, including designing and implementing AI-augmented analysis workflows, configuring intelligent requirements assistants including AI-powered requirements extraction, automated impact analysis, and intelligent documentation generation
Expertise in Agile scaling frameworks (SAFe, LeSS) with experience supporting PI Planning, Agile Release Trains, and multi-team coordination
Ability to work both independently and in a team-oriented, collaborative setting
Ability to lead through ambiguity in complex, scaled Agile environments with rapidly shifting priorities and multiple concurrent delivery streams
Ability to influence and align executive leadership, Product Owners, architects, and cross-functional teams around strategic analysis goals and AI-augmented delivery practices

Job Responsibility

Leads feasibility assessments for complex business requests, leveraging AI-assisted research and data analytics to identify and recommend optimal solutions aligned with strategic goals
Conducts gap analysis between existing business systems and evolving customer requirements, informing backlog prioritization and sprint planning decisions
Collaborates with Product Owners, System Architects, and Agile development teams to refine epics into detailed user stories with clear acceptance criteria
Authors and maintains Agile artifacts including user stories, acceptance criteria, process flows, and technical specifications, leveraging AI-assisted documentation tools where appropriate
Leads complex data analysis initiatives using AI-powered analytics platforms and traditional tools, synthesizing findings into actionable product insights and strategic recommendations
Partners with senior management, Product Owners, and stakeholders to define program vision, epic-level roadmaps, and OKRs that drive measurable business outcomes
Develops release strategies, sprint planning inputs, and stakeholder communication frameworks to ensure transparent, iterative solution delivery
Effectively communicates program objectives, release cadences, and delivery status through Agile ceremonies, executive dashboards, and AI-generated insights
Proactively identifies and manages cross-team dependencies and architectural risks, facilitating resolution through Agile coordination events and escalation pathways
Defines comprehensive acceptance frameworks, designs behavior-driven test strategies, and oversees acceptance testing across multiple product increments and release trains

Sr Automation Engineer (QA Playwright)

Wissen Technology is hiring for Sr Automation Engineer (QA PLAYWRIGHT). About Wi...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Playwright (JavaScript/TypeScript)
Proven experience in Financial Crime Prevention (FCP) domain
AML, Fraud, Sanctions, Transaction Monitoring, or similar
Experience in end-to-end testing of payment systems (cards, transfers, wallets, clearing & settlement, etc.)
UAT testing experience, including stakeholder coordination and business validation
Solid understanding of test automation frameworks, test design patterns, and best practices
Knowledge of Agentic AI concepts and their application in testing or intelligent automation

Job Responsibility

Design, develop, and maintain robust Playwright-based automation frameworks for web applications
Perform end-to-end testing of payment systems, including transaction flows, validations, reconciliations, and exception handling
Execute and support UAT testing, working closely with business users, product owners, and compliance teams
Validate Financial Crime Prevention (FCP) scenarios such as AML, fraud detection, sanctions screening, and transaction monitoring
Collaborate with developers, architects, and DevOps teams to integrate tests into CI/CD pipelines
Identify, document, and track defects
perform root cause analysis and support defect triage
Apply Agentic AI / AI-assisted testing concepts to improve test coverage, test generation, and defect prediction
Ensure compliance with regulatory, audit, and security requirements relevant to financial systems
Mentor junior testers and contribute to best practices in test automation and quality engineering

Fulltime

Senior Design System Engineer

bsport is an all-in-one platform combining boutique fitness and advanced technol...

Location

Spain , Barcelona

Salary:

Not provided

Bsport

Expiration Date

Until further notice

Requirements

4+ years of front-end experience, with at least 1 year as the primary owner or lead contributor of a mature design system
designer's eye — attention to detail, taste for quality, and the ability to push back on 'good enough'
systems thinker: see redundancy, inconsistency, and debt across a codebase and know how to create order without slowing teams down
fluent in React and TypeScript, and have solid knowledge of web components and advanced CSS (vh vs dvh)
follow the design systems space closely and have opinions
excited about how LLMs and agents change the way we think about component architecture and developer tooling
portfolio or GitHub that shows design system work — real components, potential decisions and real trade-offs

Job Responsibility

Drive bsport's design system architecture, strategy, and vision
Lead the evolution of Kaizen (B2B design system) — architecture, component quality, documentation and adoption
Drive accessibility improvements — keyboard navigation, ARIA compliance, mobile interactions
Own governance and standards: reduce redundancy, enforce consistency
Progressively extend ownership to Fabrique (B2C web, white-label) and Okaia (React Native mobile)
Define how design systems become AI-ready — machine-readable structure, cursor rules, agent-friendly naming conventions
Bring vision on animation and micro-interactions
Collaborate closely with Sr. Design System Product Designer

What we offer

Competitive salary packages
Hybrid model with remote days
Up to 15 days of remote work from abroad each year
Fully-funded Alan private health coverage
Specially discounted Wellhub membership
Multicultural colleagues, after-work events, team-building

Fulltime

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Sr Product Owner, Agentic AI

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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