Enterprise AI Platform – Predictive AI Product Manager Job at Wells Fargo (Charlotte)

Product Manager - AI/ML

We are seeking an experienced Technical Product Manager – AI/ML to lead the defi...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

15+ years of overall experience
Several years in technical/engineering roles (software development, data engineering, or AI/ML)
7+ years in product management
Strong understanding of Predictive AI/ML (classification, regression, anomaly detection)
Expertise in Natural Language Processing (LLMs, embeddings, conversational AI, text analytics)
Experience with Time Series Modeling (forecasting, demand planning, anomaly detection)
Knowledge of Generative AI (LLM-based copilots, text-to-X products, prompt engineering, RAG pipelines)
Hands-on familiarity with Python/Java, ML frameworks (TensorFlow, PyTorch), and cloud services (AWS, Azure, GCP)
Proven track record in building enterprise SaaS products and leading technical product discussions
Excellent communication and stakeholder management skills

Job Responsibility

Define and own the product roadmap for AI/ML features across predictive, NLP, time series, and generative AI domains
Align AI product strategy with overall platform vision, market trends, and customer needs
Identify opportunities for embedding AI capabilities into low-code/no-code workflows
Participate in technical design reviews with engineering and data science teams
Define API contracts, integration patterns, and deployment considerations for AI/ML features
Ensure product features are technically feasible, scalable, and aligned with enterprise architecture principles
Act as a bridge between technical and non-technical stakeholders, ensuring clarity of vision and execution
Collaborate with engineering, data science, and design teams to deliver scalable AI features
Define clear product specifications, use cases, and success metrics
Ensure compliance with security, data governance, and responsible AI principles

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Director, Digital Enablement Operations & Back Office

As the Digital Enabler for Innovation and Operations, you will be a pivotal tran...

Location

United States , Carmel

Salary:

130000.00 - 197000.00 USD / Year

Belden, Inc

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, Business, or a related discipline
Proven track record of leading digital transformation initiatives in either a product innovation/R&D or a manufacturing/supply chain environment
Business-Anchored Thinker: Ability to connect digital initiatives to measurable improvements in both innovation (e.g., faster time-to-market, higher innovation ROI) and operations (e.g., efficiency, cost, quality, resilience)
Deep Process Empathy: Demonstrates a strong understanding of the challenges and opportunities within both R&D/engineering and shop floor/supply chain environments
Data-Driven Storyteller: Translates complex analytics and AI insights into actionable recommendations for both technical and non-technical stakeholders
Adoption Champion: Focuses relentlessly on user enablement, habit-building, and continuous improvement to ensure technology is not just launched, but deeply embedded in daily workflows
Collaborative Influencer: Exceptional ability to build strong, cross-functional relationships to drive alignment and accelerate innovation and operational outcomes
Experience with core enterprise platforms such as PLM (Product Lifecycle Management), MES (Manufacturing Execution Systems), IoT, and advanced analytics tools

Job Responsibility

Develop and Execute a Unified Digital Strategy: Design and implement a holistic digital and multi-year roadmap for both innovation and operations, ensuring tight alignment with overarching business and technology objectives
Drive End-to-End Process Digitalization: Lead the digitalization of critical workflows across the value chain, including R&D, product requirements management, simulation, production scheduling, inventory management, and supplier collaboration
Own and Advance Key Digital Platforms: Own the backlog, delivery, and continuous improvement of key innovation and operational platforms (e.g., PLM, MES, IoT, Analytics, CRA Platform), ensuring they meet the evolving needs of the business
Deliver Advanced Analytics and AI-Driven Insights: Partner with data teams to deliver actionable insights for both R&D (e.g., portfolio analysis, predictive project risk) and Operations (e.g., demand forecasting, predictive maintenance, supply chain risk analysis)
Champion Enterprise-Wide Digital Adoption: Act as the primary champion for the adoption of digital tools and platforms across R&D, product, manufacturing, and supply chain teams, ensuring high user-engagement and measurable impact on key business metrics
Lead Comprehensive Change Management: Drive change management, training, and upskilling initiatives for all associated teams to maximize digital adoption, build user self-sufficiency, and realize the full value of technology investments
Foster Cross-Functional Collaboration: Partner with leaders in Data Strategy, AI, Product Management, Engineering, Manufacturing, and Supply Chain to enable seamless digital collaboration and knowledge sharing across the entire product and operational lifecycle
Govern and Measure Performance: Jointly own innovation and operational KPIs and digital adoption metrics with business leaders, ensuring that digital initiatives deliver tangible results against business goals

What we offer

health/dental/vision
long term/short term disability
life insurance
HSA/FSA
matching retirement plans
paid vacation
parental leave
employee stock purchase plan
paid leave for volunteer work in your community
training opportunities

Fulltime

Vice President, Emerging Technology

BHSI has an exciting opportunity for a visionary and execution-focused senior le...

Location

United States , Boston

Salary:

275000.00 - 325000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Minimum 15 years’ experience leading and managing a high performing engineering teams
Proven experience defining and executing enterprise-level AI strategies, ideally within regulated industries such as insurance or financial services
General familiarity with underwriting, claims, actuarial models, and regulatory frameworks specific to the property and casualty insurance industry
Strong foundation in AI, Machine Learning, and GenAI technologies, including model development, Large Language Models, deployment, and lifecycle management
Experience collaborating with enterprise and business architecture teams to ensure scalable, secure, and integrated AI solutions
Knowledge of data privacy laws (e.g., GLBA, CCPA), model transparency, and ethical AI practices relevant to insurance
Demonstrated ability to partner with business leaders, technology functions, compliance, and data teams to drive AI adoption and innovation
Experience managing AI vendors, open-source tools, and external partnerships to accelerate capability development
Ability to lead organizational change, upskill teams, and foster a culture of innovation and continuous learning
Strong skills in identifying, prioritizing, and quantifying the value of AI use cases aligned with business objectives

Job Responsibility

Define and lead the enterprise AI team, aligning with business goals and technology vision
Build and scale internal AI (Predictive AI / GenAI / Agentic AI) capabilities, including platforms, tools, and talent development
Identify, prioritize, and lead high-impact AI use cases across business functions
Partner with Enterprise Architecture, Business Architecture, and Cybersecurity to ensure AI solutions are scalable, secure, and integrated
Serve as a thought leader and internal evangelist for responsible AI adoption and innovation
Establish governance frameworks for ethical AI use, model transparency, and risk management
Collaborate with functional leaders to embed AI into core business processes and decision-making
Oversee vendor partnerships, open-source contributions, and external collaborations in the AI ecosystem
Monitor emerging trends in AI and assess their relevance and applicability to the company
Develop and manage a roadmap for AI capability maturity, including KPIs and success metrics

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Product Lead Director

IQM is seeking an experienced Product Lead Director (Contractor) to lead and sca...

Location

Salary:

Not provided

IQM Corporation

Expiration Date

Until further notice

Requirements

12+ years of product management experience, including senior leadership roles
Proven experience as Head of Product, Director of Product, or equivalent in AdTech, MarTech, AI platforms, or large-scale SaaS
Strong background building data-intensive, workflow-heavy platforms
Demonstrated ability to introduce modern product operating models and execution discipline
Experience with DSPs, RTB, programmatic advertising, or two-sided platforms
Hands-on experience with AI-powered products, ML systems, or agentic workflows
Startup and scale-up experience alongside enterprise exposure
Engineering or technical background enabling strong architectural decision-making

Job Responsibility

Own product vision, strategy, and roadmap across Political and generic advertising verticals
Translate business goals into clear product priorities, outcomes, and execution plans
Balance short-term delivery with long-term platform scalability and extensibility
Introduce modern product development practices including outcome-driven roadmaps, empowered teams, and data-informed decision making
Improve execution velocity, delivery predictability, and cross-functional alignment
Establish clear product rituals, metrics, and operating cadence
Lead evolution of IQM’s campaign management, optimization, reporting, and workflow automation platforms
Partner closely with engineering and data teams on AI-driven capabilities including automation, agentic workflows, and decision support
Ensure platform architecture supports scale, reliability, and regulatory requirements
Drive product strategy in highly regulated environments including political, advocacy, and healthcare advertising

Fulltime

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
Proven ability to scale AI capabilities into high-throughput, low-latency environments
Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
Experience leading AI strategy and platform adoption in enterprise-scale environments
Skilled at translating regulatory and compliance requirements into responsible AI practices
Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners

Job Responsibility

Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
Lead the AI Governance group and drive best practices across business functions
Track and optimize KPIs on AI adoption, model performance, scalability, and business impact

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches every day
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Enterprise Data Architect

We are seeking a highly skilled and collaborative Data Architect to join our Ent...

Location

United States , Columbus

Salary:

167000.00 - 184000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
advanced degree preferred, or combination of relevant skills and experience
10+ years of experience in technical leadership within large-scale organizations (retail experience preferred)
Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments
Strong understanding of data modeling, metadata management, and data integration
Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark)
Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale
Demonstrable experience with data governance tools, semantic models and frameworks
Excellent communication, stakeholder management, and change leadership skills
Ability to translate complex technical concepts into actionable business value

Job Responsibility

In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution
Own and author data capability maps aligned with business functions
Translate business needs into domain-aligned data models
Act as a Strategic Though Partner and Enabler of AI/ML initiatives
Advise business and technology leaders on AI-readiness of systems and platforms
Identify opportunities for data reuse, integration, and optimization
Champion the development of data products
Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making
Leverage data to identify trends, risks, and opportunities
Serve as subject matter expert and a leader inside our AICoE and CCoE

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

Fulltime

Director - AI

The Director -AI in Delivery leads multiple teams and managers, ensuring each gr...

Location

United States

Salary:

168400.00 - 252600.00 USD / Year

3Cloud

Expiration Date

Until further notice

Requirements

12+ years of experience delivering solutions in a primary domain such as application development, cloud platform engineering, DevOps, or data and analytics, including significant work at enterprise scale
7+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts at program scale
Proven ability to oversee delivery of complex, enterprise-scale AI/ML programs
Deep expertise across most of the following: Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to design intelligent workflows
applying tool/function calling, planner and agent-based patterns, and workflow automation engines
Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus
applying hybrid search methods, re-ranking strategies, and selecting embedding models for accuracy and performance
Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches
using golden datasets, hallucination and groundedness validation, toxicity and safety testing
building telemetry and feedback loops

Job Responsibility

Maintain a clear view of each team member's delivery commitments, growth plans, and internal contributions
Develop and grow team members through regular coaching, clear expectations, and constructive feedback. Build a culture of trust, inclusion, and collaboration
Monitor team health, morale, and workload balance, acting early to address engagement or performance concerns in partnership with practice leadership
Maintain regular one-to-one connections with each team member, provide clear feedback, and help them remove blockers related to client work, pursuits, or internal initiatives
Oversee staffing and resource alignment across teams, balancing utilization, development goals, client needs, and sustainable workloads
Communicate practice priorities and organizational objectives clearly, ensuring teams understand how their work contributes to broader organizational goals
Define interview standards and mentorship strategies, training others to apply them consistently and improving hiring outcomes and talent growth at scale
Create and maintain development plans for team members, including stretch assignments, shadowing, certifications, and opportunities for external visibility
Lead or support performance reviews, promotion recommendations, and compensation input for your teams, using consistent standards that reflect both impact and behavior
Represent your teams in leadership forums, communicate expectations and decisions clearly back to the group, and bring forward patterns, risks, and successes that should shape practice strategy

What we offer

Flexible work location with a virtual first approach to work!
401(K) with match up to 50% of your 6% contributions of eligible pay
Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
Two medical plan options to allow you the choice to elect what works best for you!
Option for vision and dental coverage
100% employer paid coverage for life and disability insurance
Paid leave for birth parents and non-birth parents
Option for Healthcare FSA, HSA, and Dependent Care FSA
$67.00 monthly tech and home office allowance
Utilization and/or discretionary bonus eligibility based on role

Fulltime

Enterprise Customer Success Manager

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

United States , New York

Salary:

110000.00 - 159500.00 USD / Year

hyperexponential

Expiration Date

Until further notice

Requirements

Managed and grown complex enterprise SaaS accounts, driving measurable customer outcomes, strong platform adoption, and consistent renewal performance across a portfolio
Executed proactive renewal and expansion strategies that contributed to high net revenue retention, with clear ownership of commercial outcomes and account health
Led senior executive customer interactions including QBRs, value reviews, or strategic workshops that influenced decision-making and strengthened long-term partnerships
Worked cross-functionally with Sales, Product, and Delivery teams to resolve complex customer challenges and deliver aligned success plans in ambiguous environments
Demonstrated strong commercial and analytical acumen, including understanding value drivers, renewal dynamics, forecasting, and metrics-driven decision-making
Adopted AI-enabled tools or workflows to improve productivity, customer insight, or operational efficiency, showing curiosity and willingness to experiment with emerging technologies that drive impact

Job Responsibility

Act as a strategic partner to a portfolio of complex US enterprise insurance customers, aligning underwriting and pricing objectives to hx’s AI-powered platform to drive sustained adoption and measurable business outcomes
Own account health and commercial performance end-to-end, including renewals, expansion identification, and proactive risk management to deliver strong GRR and NRR across your portfolio
Forecast and deliver against core Customer Success metrics, regularly inspecting pipeline, renewal likelihood, and expansion signals to support predictable regional revenue outcomes
Lead high-impact customer engagements such as QBRs, executive workshops, and value assessments that demonstrate ROI, reinforce hx’s strategic value, and deepen executive-level relationships
Capture structured customer feedback and performance insights, translating them into clear recommendations that influence product roadmap decisions and operational improvements
Partner cross-functionally with Sales, Product, Delivery, and Business Value Consulting, leveraging AI-enabled tools and workflows to unblock issues, improve efficiency, and enhance customer outcomes

What we offer

$6000 training and conference budget for individual and group development
Full medical, dental, vision package to fit your needs
Mental health support via Spring Health and Rula
Access to One Medical
Flexible vacation policy
work hard and take time when you need it
Pet discount plans, retirement plan (401K), and discount programs available to employees
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at our WeWork office space

Fulltime

Enterprise AI Platform – Predictive AI Product Manager

Wells Fargo

Location:
United States , Charlotte ▼
Minneapolis
Irving
Concord
Chandler

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

Expiration:
February 08, 2026

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