Depthfirst, AI Jobs in Usa

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

• 
  
• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
  • 
    
  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: March 5, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Apr 10, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

• Build Real Skills: Gain hands‑on experience, practical skills, and industry knowledge through meaningful work and targeted learning opportunities.
• Work on Impactful Projects: Contribute to real projects that support business priorities and address real‑world health care challenges.
• Grow Your Network: Connect with leaders, mentors, and fellow interns through networking events and everyday collaboration.
• Learn from Mentors: Receive guidance and feedback from experienced professionals who are invested in your growth.
• Give Back: Participate in community service initiatives and be part of an organization committed to making a difference.
• Support Your Well‑Being: Experience a supportive culture with programs that promote balance and well‑being.
• Launch Your Career: Join an award‑winning, inclusive workplace and explore a future in a growing, evolving industry.

• Apply advanced analytical and strategic skills to real-world health care operations
• Help shape MVP's approach to responsible AI adoption and governance
• Partner with senior leaders across Operations, Payment Integrity, and Digital
• Gain experience balancing innovation, regulatory compliance, and operational risk
• Contribute to enterprise-scale transformation initiatives

• Must be a full-time graduate student in good academic standing
• Program focus in data analytics, information systems, operations management, public policy, health administration, computer science, or a related field
• Availability to work full-time, hybrid (Monday-Friday, 37.5 hours per week)
• Strong analytical, problem-solving, and critical thinking skills
• Ability to assess risk, scalability, and performance of emerging technologies
• Comfort working with cross-functional stakeholders and senior leaders
• Strong written and verbal communication skills
• Interest in AI governance, regulatory alignment, and operational strategy
• Commitment to quality, accuracy, and customer-centered outcomes

• Partner with operational leaders to identify and prioritize high-impact AI and automation use cases (e.g., Payment Integrity)
• Design multi-step, AI-assisted workflows that include Human-in-the-Loop (HITL) controls to ensure clinical and financial accuracy
• Establish standards for AI outputs to align with CMS, NCQA, and state-specific regulatory requirements
• Evaluate the performance, scalability, and ROI of AI-enabled solutions and recommend optimization opportunities
• Develop standard operating procedures (SOPs defining how staff review, validate, and approve AI-generated content
• Produce executive-level summaries assessing AI risks, potential biases, and mitigation strategies
• Support governance efforts by mentoring undergraduate interns and promoting disciplined testing and documentation practices

Role Overview

TYR is scaling its global digital business and rebuilding the customer experience to support accelerated growth. The UX/UI E-Commerce Designer will own the on-site experience that turns traffic into revenue through a structured hierarchy, mobile-first UX, high-performing PDP and PLP architecture, and disciplined conversion rate optimization.

This is not a brand-only design role. This is a performance-driven operator role with measurable outcomes tied directly to conversion rate, AOV, bounce rate, site speed, funnel completion, and revenue expansion.

The right candidate understands that design is a growth lever. Every decision should connect to commercial impact.

What You’ll Own

Site Experience & Hierarchy

• Own UX across homepage, navigation, search, PLP, PDP, cart, and checkout.
• Build and maintain a scalable category and collection hierarchy aligned with growth priorities (footwear-led where appropriate).
• Improve product discovery, filtering, and sorting logic.
• Reduce friction across key customer journeys (new visitors, returning customers, and high-intent shoppers).
• Lead mobile-first design strategy with structured performance measurement.

Shopify Plus Execution (Required)

• Proven hands-on experience working within Shopify Plus.
• Deep understanding of Shopify theme architecture and modular component design.
• Ability to design scalable templates and reusable content blocks.
• Familiarity with Shopify checkout extensibility and app ecosystem.
• Partner closely with developers to ship UX improvements rapidly and cleanly.
• Understand international storefront considerations and localization impact.
• Shopify Plus experience is required.

Conversion Rate Optimization (CRO)

• Maintain an always-on CRO roadmap (hypothesis → design → test → measure → iterate).
• Design and support structured A/B tests and landing page experiments.
• Improve add-to-cart rate, checkout progression, and funnel completion.
• Build modular design systems that allow fast iteration and rapid testing.
• Prioritize initiatives based on projected revenue impact.

PDP / PLP Merchandising & Content-to-Commerce

• Create high-converting PDP templates including proof modules, comparison tools, UGC integration, reviews, specs, and fit guidance.
• Elevate product storytelling to clearly communicate performance differentiation.
• Improve PLP merchandising (filters, badges, sorting logic, quick add, bundle prompts).
• Partner with Marketing and Creative to ensure campaign pages convert — not just present brand messaging.
• Drive AOV growth through structured cross-sell, bundling, and merchandising placement strategy.

Performance & Behavioral Analytics

• Use behavioral analytics platforms (heatmaps, scroll depth, session replay, journey analysis) to identify friction points.
• Translate behavioral data into structured UX improvements.
• Maintain a simple, clear performance scorecard tied to conversion, AOV, bounce rate, and engagement.
• Collaborate with Engineering on page speed, accessibility, and UX performance standards.

AI & Emerging Technology (Crucial)

• Strong understanding of AI-powered design and productivity tools.
• Experience leveraging AI for rapid prototyping, workflow acceleration, content generation, and personalization concepts.
• Ability to evaluate AI-driven search, recommendation, and merchandising tools.
• Demonstrated curiosity and practical application of emerging AI capabilities in e-commerce.
• Understand how AI can improve speed-to-market, personalization, and operational efficiency.
• AI tool fluency is considered a critical capability for this role.

Cross-Functional Collaboration

• Work closely with E-Commerce, Marketing, Merchandising, Planning, and Customer Service.
• Translate business objectives into structured UX roadmaps.
• Maintain documentation, component specifications, and clean developer handoff processes.
• Ensure consistency and scalability across US and international storefronts.

KPIs / Success Metrics

• Conversion rate improvement (overall and mobile).
• AOV lift driven by improved merchandising and bundling.
• Bounce rate improvement on high-traffic landing pages and PDPs.
• Funnel completion improvements (Add-to-Cart → Checkout).
• Page speed and UX performance metrics.
• Testing cadence and shipped UX improvements per quarter.

Requirements

• 4–6+ years designing DTC e-commerce experiences with measurable business impact.
• Proven Shopify Plus experience (required).
• Strong portfolio demonstrating revenue or conversion improvement.
• Proficiency in Figma and component-based design systems.
• Working knowledge of CRO and experimentation best practices.
• Comfort collaborating with developers and shipping in rapid cycles.
• Strong understanding of behavioral analytics tools.
• Demonstrated understanding and application of AI tools within digital commerce.

Customer Engagement & Content-to-Commerce Leadership

Superior customer engagement is a core mandate of this role. The UX/UI E-Commerce Designer must deeply understand how content influences purchasing behavior and how to curate experiences that guide customers seamlessly from inspiration to transaction.

This role requires strong expertise in content-to-commerce integration, ensuring storytelling, performance messaging, product education, and user-generated content are intentionally structured to drive engagement and conversion.

• Design highly engaging, immersive product journeys that increase time on site and deepen brand connection.
• Curate content modules that blend performance storytelling with commercial clarity.
• Implement personalization concepts that adapt product recommendations, merchandising blocks, and messaging to customer behavior.
• Partner with CRM and lifecycle teams to ensure cohesive personalization across on-site and owned channels.
• Continuously evaluate tools and AI-driven personalization platforms to enhance customer relevance and engagement.
• A sophisticated understanding of personalization strategy, including behavioral triggers, segmentation, and AI-supported recommendation engines, is considered essential for success in this role.

Join us as a Senior, AI Workplace Transformation Consultant

You’ll play a pivotal role in delivering successful organisational change, backed by experience and knowledge of PROSCI, Kotter or other change frameworks, while also helping clients unlock the full potential of Microsoft 365, Copilot, Copilot Studio, Viva and more. You’ll develop and implement advanced change management strategies; drive people change and enablement and ensure that new solutions are adopted smoothly and deliver measurable value.

You’ll be a self-starting, adaptable, and energetic individual who thrives in fast-paced environments. You’ll bring strong experience in consultative client engagements, be open to challenge and feedback, and feel confident constructively challenging clients to ensure the best outcomes for everyone involved. A growth mindset is essential, along with a clear expectation that you’ll actively contribute to the continuous improvement of Changing Social.

Location: Nashville Tennessee / Remote Time zone: Eastern or Central preferred

Key Responsibilities:

Change Management Strategy

• Lead the design and execution of advanced change management strategies for clients adopting Microsoft 365 and Copilot solutions.
• Apply proven methodologies to build adoption plans, communications, and training tailored to diverse audiences.
• Ensure all change activities align with client business goals and deliver measurable outcomes.

Stakeholder Engagement

• Lead stakeholder mapping, engagement planning, and delivery of sessions to secure buy-in at all levels.
• Advocate, support, coach and mentor senior leaders in the importance and necessity of change.
• Build strong, trusted relationships with client sponsors, technical leads, and end users.
• Facilitate workshops and feedback sessions to ensure adoption challenges are addressed proactively.

Adoption Metrics, Reporting & Value Realisation

• Develop and implement measurement frameworks to track adoption, usage, and ROI of Copilot and other Microsoft solutions.
• Use reporting tools to monitor project effectiveness and recommend data-driven improvements.
• Communicate adoption progress and value realisation to key stakeholders and sponsors.

Microsoft 365, Copilot, Copilot Studio & AI Agents

• Understand, identify, scope and support the elements of the M365 Modern Workplace Applications that are of direct impact to the clients needs.
• Be well versed in the identification of business workflows and processes. Capable in crafting new ways of working that utilise the M365 platform and drive real world ROI.
• Deliver Copilot projects and custom conversational AI agents to meet client needs.
• Advise clients on best practices for creating and managing AI-powered solutions that enhance workflows and productivity.
• Translate functionality into clear guidance for end users, ensuring solutions are user-friendly and deliver on their promise.
• Collaborate closely with technical teams and developers to align AI deployments with user needs and organisational policies.

Product & AI Knowledge

• Leverage deep understanding of our solutions to assess client needs and recommend the most suitable products or agents that deliver optimal value and outcomes.
• Maintain up-to-date knowledge of Microsoft 365, Copilot for Microsoft 365, Copilot Studio, and broader M365 modern work platform
• Deliver client training sessions, Q&A drop-ins, and knowledge-sharing to embed new ways of working.
• Keep up to date of Microsoft’s AI roadmap to guide clients on upcoming features and capabilities.

Client Relationship Management & Pre-Sales

• Build and maintain long-term client relationships.
• Embed as a trusted advisor who can spot business benefits for our clients and build proposals and services to support those needs both commercially and via delivery.
• Support the sales team in scoping client needs, delivering demos, and showcasing our Copilot capabilities.
• Contribute to proposals and presentations, bringing both change management and technical expertise.

Qualifications

Education:

• Bachelor or masters degree in Business, Organisational Development, Information Technology, Anthropology or a related field is preferred but not essential.

Experience:

• 5+ years of experience in adoption and change management, with at least some exposure to configuring or supporting Microsoft 365 solutions.
• Hands-on experience working with Microsoft 365 products, Copilot Studio, Power Virtual Agents, or similar conversational AI tools is highly desirable.

Certifications:

• Relevant change management certification (e.g. PROSCI) required. Or significant proven track record and specific detailed knowledge of change frameworks.
• Desirable: Microsoft Certified: Power Platform Functional Consultant Associate (PL-200), Power Platform Solution Architect Expert (PL-600), or equivalent Copilot Studio certifications.

Skills

• Advanced knowledge of change management tools and methodologies.
• Strong analytical, problem-solving, and decision-making skills.
• Ability to communicate complex technical ideas clearly to non-technical audiences.
• Excellent stakeholder engagement and client relationship management skills.
• Confident in facilitating workshops and training sessions.
• Proactive, curious, and adaptable mindset with a passion for emerging AI capabilities.

Core Competencies

• Knowledge & Experience: Advanced knowledge of Microsoft 365, Copilot Studio, and change management best practices. Mentor colleagues and leads client training.
• Business Impact: Leads complex projects, drives measurable adoption, and supports business development.
• People & Team Management: Coaches junior team members, resolves issues, and drives collaboration.
• Communication & Influence: Communicates effectively with clients and internal teams, translating between technical and non-technical contexts.
• Problem Solving & Innovation: Designs creative solutions for adoption challenges, drives continuous improvement, and keeps up to date with the AI landscape.

Why Join Changing Social?

We are an equal opportunity employer, celebrating diversity and committed to creating an inclusive environment for all employees. We are on an exciting journey of growth that offers huge potential for ambitious and likeminded people. Changing Social has ambitious plans for the future. We aim to expand our team substantially in the coming years, having grown 58% over the past 12 months, with growth plans to hit a head count of 200 over the next three to five years.

Our culture is built on the values of Lovability, Openness, Versatility, and Enthusiasm. We thrive on creativity, embrace diversity, and are passionate about delivering exceptional service. As a rapidly growing company with a global footprint and a head office in the UK, we cater to an international audience while maintaining a localised approach where necessary.

Benefits:

• Annual Leave: 23 days of annual leave per calendar year, excluding Public Holidays, with an additional day for each year of employment up to a maximum of 5 days.
• Additional Leave: Gain an additional day of leave for each year of service, up to a maximum of 5 days.
• Annual Leave Carry Over: Carry over up to 5 days of unused annual leave to the next year.
• Festive Period: Business closure for a week during the festive period in December.
• Public Holidays: Flexibility to work over public holidays if desired or required, with time taken back on a subsequent day.
• Pension Scheme: 2% 401k employer contribution, 5% employee contribution.
• Flexible Working: Manage your own time to improve work-life balance and facilitate managing international time zones.

Additional Benefits:

Health and Wellbeing:

• US Health, Vision and Dental Plan
• My Mind Pal Wellbeing App

Financial Security:

• Bravo Perks: Points schemes and vouchers.
• Bravo Hub: Access to discount codes.
• Financial Wellbeing Tools: Budget planners, money-saving tools, and financial education resources.

Personal Development:

• Paid Microsoft Training and Certifications: Enhance your professional skills with company-sponsored training.

More about Changing Social

Our culture is built on the values of Lovability, Openness, Versatility, and Enthusiasm. We thrive on creativity, embrace diversity, and are passionate about delivering exceptional service. As a rapidly growing company with a global footprint and a head office in the UK, we cater to an international audience while maintaining a localised approach. Our POP values Preparation, Ownership, and Pride are the behaviours that underpin our high-performance culture. They’re how we turn our values into action, every day.

Job Title: Software Product Manager

Reports to: Chief Product Officer

Location: Westminster, CO (Hybrid — 3-4 days on site)

Compensation: Salary range $135k-$165k

About Inovonics

Inovonics builds enterprise grade wireless sensor networks and software for life safety and security systems in demanding environments. For over 40 years, our 900 MHz wireless technology has helped protect people, property, and critical operations across senior living communities, healthcare campuses, schools, retail sites, and other commercial facilities. We have shipped more than 25 million devices worldwide.

We are in the middle of a deliberate transformation: moving from a hardware component provider to a complete solutions company. That means building a software platform, cloud integrations, and AI-driven capabilities alongside our wireless hardware. This role sits at the center of that shift. Inovonics is a wholly owned subsidiary of Roper Technologies (NYSE: ROP).

The Role

We are looking for a Software Product Manager who can guide our software engineering team with clarity and technical credibility. This is not a role for someone who will hand requirements over the wall and hope for the best. You will be embedded in the day-to-day work of the team: running sprint ceremonies, owning the backlog, writing requirements that engineers can act on, and making product decisions that hold up under scrutiny.

The right candidate has a software engineering or technical background and has moved into product management because they want to shape what gets built, not just how it gets built. You understand system architecture well enough to know when a proposal does not fit, and you are willing to say so. You write requirements you have thoroughly reviewed and own the outcomes that follow.

What You Will Own

Day to day software team leadership

• Own the product backlog and sprint planning for the software engineering team
• Write and maintain requirements that are accurate, scoped, and actionable
• Run Agile ceremonies and serve as the primary product voice to engineering
• Manage trade-off decisions between scope, quality, and timeline in real time
• Report sprint progress to executive leadership
• Work with customer-facing teams and market focused Product Managers to triage requests and manage communication related to software releases

Software roadmap and platform strategy

• Define the “What”, “Why”, and “When” of what the software team builds.
• Own the software and cloud platform roadmap, including API integrations and third-party partnerships
• Ensure roadmap initiatives have well defined software requirements before engineering picks them up
• Partner with hardware and market focused product managers to identify what software can realistically deliver, surface revenue opportunities, and align software commitments to system level plans.
• Maintain visibility into technical dependencies and surface risks early

AI product direction

• Provide product leadership for Inovonics' AI capabilities, including our dealer facing AI assistant and AI driven monitoring features
• Translate the engineering team's AI and ML capabilities into a committed, realistic roadmap
• Identify where AI creates genuine product value versus where it adds complexity without payoff
• Work with commercial and customer facing teams to validate AI use cases before committing engineering resources

What Success Looks Like in Year One

• The engineering team trusts your requirements and does not spend cycles reworking stories because of gaps or inaccuracies
• The software backlog is clean, prioritized, and current
• Roadmap projects have software requirements captured and ready before they enter sprint planning
• A clear, defensible AI roadmap exists with prioritized use cases tied to business outcomes
• You are operating independently and are the recognized product leader for the software team

What We Are Looking For

Required

• Background in software engineering, computer science, or a related technical discipline
• Hands on experience running Agile development: sprint planning, backlog management, story writing, and retrospectives
• Demonstrated ability to write detailed, accurate product requirements that engineering teams can execute without constant clarification
• Ability to engage in architectural conversations and recognize when a proposal does not fit the existing system
• Experience owning a SaaS or cloud platform product end-to-end
• Comfort with ambiguity and the ability to make and defend product decisions with incomplete information

Strongly preferred

• 5+ years of product management experience with a software or engineering foundation
• Experience with IoT, connected hardware, or embedded systems products
• Familiarity with physical security, life safety, or building automation markets
• Experience shipping AI or ML powered product features; practical understanding of what AI systems can and cannot do
• Experience with API platform products and third-party integration ecosystems

Personal qualities that matter for this role

• You own your outputs. If you put a requirement in front of engineering, you have read it, pressure tested it, and stand behind it
• You know what you do not know and say so
• You earn credibility through rigor, not title
• You can move between strategic and operational work in the same day without losing focus

Location and Work Model

This position is based in Westminster, Colorado. We work in a hybrid model with 3-4 days per week on site. Westminster sits within the Denver/Boulder tech corridor, approximately 15 miles northwest of Denver.

Inovonics values diversity of thought and background and provides equal employment opportunity to all qualified applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, veteran status, or disability.