Sr. Manager, Product Management - Auto Job at Capital One (Plano)

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Sr. Associate, Product Management - Auto

Product Management at Capital One is a booming, vibrant craft that requires reim...

Location

United States , Plano

Salary:

101100.00 - 115400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree or military experience
At least 1 year experience in product management, product design, agile delivery, business analysis, data science, or software engineering

Job Responsibility

Collaborate with tech teams to build comprehensive acceptance criteria
Break down business epics into features and user stories
Use hypothesis-driven assessment of data
Own and prioritize feature development roadmaps
Work autonomously in an agile environment to conduct research and develop features
Collaborate with designers, technologists, data scientists and subject-matter experts
Deliver well-managed product platforms
Articulate a succinct product roadmap

What we offer

Performance based incentive compensation (cash bonus(es) and/or long term incentives)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Sr. Business Manager - Auto

As a Senior Manager, Business Analysis at Capital One, you will apply your strat...

Location

United States , Plano

Salary:

182500.00 - 208300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)
At least 2 years of experience in quantitative analysis
At least 2 years of experience in qualitative analysis
At least 1 year of experience in people management
At least 1 year of experience in project management

Job Responsibility

Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success
Business ownership: Have an ownership mindset, and potentially P&L accountability for a business segment
Leadership: May manage and develop a team of analysts
Product: Develop and implement new product and pricing strategies for various lending products
Marketing: Lead direct to consumer marketing efforts for select products
Credit Risk: Drive step-change improvements in credit performance
Execution: Coordinate across the line of business to manage and sequence delivery of business intent
Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Dsc post sales product owner

The Digital Solutions Centre (DSC) uses the Scaled Agile / Scrum project methodo...

Location

China , Beijing

Salary:

Not provided

Mercedes-Benz AG

Expiration Date

Until further notice

Requirements

Bachelor or above degree in finance, business administration or related fields
Excellent written and oral English & Chinese communication skills
Knowledge and experience with Agile and Scaled Agile approach of product delivering
Comfortable presentating to a large crowd of audiences and/or to senior management
In-depth understanding of processes in auto finance industry and how to digitize and optimize those
Project management experience with the ability to work independently with little supervision
Must be able to handle multiple initiatives at once, under multiple deadlines and with attention to detail
Solid knowledge about Microsoft Office applications and preferable Jira platform and auto testing tool
Framework thinking and result-driven
High degree of personal and professional integrity, accountability and credibility

Job Responsibility

Discuss requirements with other business units
Support CPO with Product vision and deliver roadmap design
extract and draft user stories from features
prioritize the backlog with a CORE structure in mind
ensure Sprints are palnned in an effective and efficient manner
testing management/coordination and training to users as well as communication with stakeholders
Project Management: Ontime delivery of projects within budget, with acceptable quality and satisfy business needs/designed scope
Engaging with end-users to understand the needs and requirements in product UX and functional design
Responsible for high quality, detailed and well defined user stories and product backlog that is aligned to the strategic goals as defined in the Digital Lending Model
Prioritization of the relevant user stories / backlog making use of various prioritization techniques to deliver what is most urgent and needed first

What we offer

Mitarbeiter Events
Gesundheitsmaßnahmen
Mobilitätsangebote
Hybrides Arbeiten möglich
Mitarbeiterrabatte möglich
Flexible Arbeitszeit möglich
Gute Anbindung
Barrierefreiheit

Staff/ Sr Staff RTL Design Engineer

Synopsys software engineers are key enablers in the world of Electronic Design A...

Location

India , Bengaluru

Salary:

Not provided

Synopsis Engineering

Expiration Date

Until further notice

Requirements

3-5 years of relevant experience in ASIC digital design and verification
Proficiency in RTL simulation, logic synthesis, and timing verification tools
Deep expertise in UVM, SystemVerilog, and protocol verification (e.g., IEEE1500, IEEE1687, AXI, AMBA)
Hands-on experience with VIPs and transactors in simulation and emulation environments
Strong understanding of DFT architectures, interconnects, and cache coherency protocols
Familiarity with debug tools such as Verdi and workflows for performance analysis
Programming skills in SystemVerilog, UVM, Verilog, C/C++, Python, and scripting languages like Tcl
Experience with EDA tools such as VCS, Verdi, and DC, and methodologies including VC Auto-Testbench and protocol compliance checking

Job Responsibility

Developing and modeling RTL logic in Verilog for embedded memory test and SLM IP blocks
Performing digital design validation and functional verification at both block and SoC levels
Executing logic synthesis, static timing analysis, and generating fault coverage reports to ensure robust designs
Applying DFT (Design-for-Test) expertise for comprehensive memory and logic testing
Identifying and troubleshooting design timing and DFT functional issues to optimize chip performance
Utilizing and scripting in languages such as Tcl to automate design and verification workflows
Defining architecture, logic, test bench designs, and embedded software functions for advanced test and analytics
Developing and maintaining technical collateral including test suites, protocol documentation, and debug guides
Collaborating with R&D and marketing teams to define new features, drive enhancements, and align product roadmaps
Delivering product training, managing customer support cases, and ensuring turnaround time (TAT) metrics are met or exceeded

What we offer

Comprehensive medical and healthcare plans that work for you and your family
In addition to company holidays, we have ETO and FTO Programs
Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more
Purchase Synopsys common stock at a 15% discount, with a 24 month look-back
Save for your future with our retirement plans that vary by region and country
Competitive salaries

Fulltime

Sr SP&OP Manager

The role will play a crucial role in the success of China IAM long range plan. S...

Location

China , Shanghai

Salary:

Not provided

Valvoline

Expiration Date

Until further notice

Requirements

Bachelor’s degree required. Higher education preferred
At least 10 years of work experience with good track record in commercial area. Lubricant or auto related background preferred
Strong data analysis ability and high data sensitivity, good logical thinking
Expertise in design and implementation of business channel strategy
Hands on experience in business operation and planning
Proven sales, marketing or commercial related experience
Good communication, presentation, and negotiation skills
ability to express concepts clearly and concisely
Expert understanding of customer needs, ability to innovate new solutions to serve customers
Innate drive to succeed and take initiative, able to manage conflict

Job Responsibility

Developing IAM channel growth strategies and distributor network plan, providing in-depth understandings of competition, brand positioning and value proposition, identifying core strengths and growth opportunities, offering insights for key stakeholders in making business decisions
Capable of developing, managing, and retaining customers, consolidating resources, and providing direct support for regional sales teams to increase market share and penetrations against competition. Cultivating positive interactions and relationships with customers, optimizing the overall business return with a matrix of new and existing
Collaborating with sales team and key functions, including pricing, product, rtm, trade mkt to develop business plans, marketing programs, promotion schemes, and commercial policies, which are jointly responsible for LE fulfillment and goal achievement
Demonstrating performance culture by implementing distributor management program, training and learning program with sales and distributors, channel development management and sales performance tracking
Leading sales operations and planning to ensure high efficiency of sales data analytics and reporting , sales activities while mitigating risks in business process internally or with customers
Supporting leadership team in executing and landing China OGSM and 2030 target, including business operation, sales analysis, customer relationship management, commercial communication facilitation, and other business-related assignments

Fulltime

Sr. iOS Developer

We’re seeking a detail-oriented, innovative, and product-focused Senior iOS Deve...

Location

India , Surat

Salary:

Not provided

OptimumBrew

Expiration Date

Until further notice

Requirements

Min. 2 to 4 years experience
Practical experience in applying OOPs techniques and design patterns in everyday coding
Strong experience in Swift 2+ Year
Proper knowledge of Xcode
Proper knowledge of the iOS development life cycle
Expertise of iOS SDK, different versions of iOS, and how to deal with different screen sizes
Strong experience in using Auto Layout
Experience working with remote data via REST API and JSON
Understanding of iOS App Code signing process and deployment process
Ability to understand business requirements and translate them into technical requirements

Job Responsibility

Architect, develop, and maintain core features and functionalities for our iOS app using Swift and modern development practices
Drive full-cycle development from technical planning and implementation to deployment and post-release optimization
Participate in rigorous code reviews, ensuring high standards of performance, reliability, and reusability
Analyze app performance and optimize for responsiveness, memory usage, and smooth user interactions
Integrate APIs and manage secure data handling aligned with Apple’s best practices
Leverage AI-powered development tools to streamline coding, debugging, and performance optimization
Collaborate with product, design, QA, and backend teams to ensure alignment across user journeys and technical decisions
Monitor releases, debug complex issues, and deliver frequent, stable updates through the App Store

What we offer

22 Paid Leaves
5 Days Working
Good Company Culture
Health Insurance
Life Insurance
Pension Scheme
Statutory Benefits (PF & ESIC)
Salary on time
Yearly Picnic
Annual Sports Day

Fulltime

Sr Machine Learning Engineer

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-con...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerisation (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimise performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Sr Machine Learning Engineer -AI/ML- US Remote

We are seeking a Sr Machine Learning Engineer—Amgen’s senior individual-contribu...

Location

United States , Jacksonville

Salary:

164029.00 - 209103.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerization (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimize performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Fulltime

Sr. Manager, Product Management - Auto

Capital One

Location:
United States , Plano

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 22, 2026

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