software engineer

ai engineer

ai engineer ii

bms field engineer

engineer

ml engineer

T-Mobile

<div><p>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!</p><p></p>
At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.<br>
<br>
We are seeking a creative, and curious Senior Applied Scientist to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale.<br>
<br>
We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.<p></p><div><div><div><div><div><div><div><div><div><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.</p></li><li><p>
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.</p></li><li><p>
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.</p></li><li><p>
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.</p></li><li><p>
Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
</p></li></ul><p></p><p><b>Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)</p></li><li><p>
4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)</p></li><li><p>
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)</p></li><li><p>
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)</p></li><li><p>
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.</p></li><li><p>
Advanced knowledge of cloud-based services (GCP, AWS)</p><p>
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.</p></li><li><p>
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.</p></li><li><p>
Experience operating production machine learning and data systems in cloud and containerized environments.</p></li><li><p>
Experience in AdTech and GIS or geospatial data processing is a plus.</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><ul><li><p>
At least 18 years of age</p></li><li><p>
Legally authorized to work in the United States</p></li></ul><p></p><p><b>
Travel</b>:<br>
Travel Required (Yes/No): No<br>
<br>
<b>DOT Regulated</b>:<br>
DOT Regulated Position (Yes/No): No<br>
Safety Sensitive Position (Yes/No): No</p><p></p>
Base Pay Range: $116,500 - $210,100<p></p>
Corporate Bonus Target: 15%<p></p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><p></p>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.<p></p><p>
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out <i>www.t-mobilebenefits.com</i><i>.</i></p><p></p><p>
Never stop growing!<br>
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable!<br>
<br>
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.<br>
<br>
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</p></div>

Senior Applied Scientist

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div></div><div>You are passionate about shaping the future of AI and data-driven innovation at scale. Join JPMorganChase's AI/ML Solutions team and play a critical role in advancing transformational initiatives that strengthen the firm's data and analytics capabilities while delivering meaningful business outcomes.</div><div>
</div><div>As a <b>Product Manager </b>within the <b>AI/ML Solutions </b>team, you will be responsible for driving strategic initiatives that enable the firm's data, analytics, and AI objectives. You will lead complex programs, establish governance frameworks, manage cross-functional stakeholder engagement, and help define operating models that maximize business value. Acting as a trusted partner to senior leaders across Lines of Business and Corporate Functions, you will be instrumental in delivering scalable, efficient, and well-governed AI/ML solutions that support the firm's strategic priorities.</div><h2 class="jobSectionHeader"><b>
</b></h2><h2 class="jobSectionHeader"><b>Job Responsibilities</b></h2><ul><li>
Develop and execute strategic product and program roadmaps that align AI/ML initiatives with business objectives and enterprise priorities</li><li>
Lead the delivery of complex, cross-functional programs, ensuring alignment of scope, timelines, resources, dependencies, and risk mitigation strategies</li><li>
Partner with business, data, technology, risk, and control stakeholders to define requirements and deliver innovative AI/ML-enabled solutions</li><li>
Establish and maintain governance frameworks, operating rhythms, and reporting processes that drive transparency, accountability, and execution excellence</li><li>
Manage portfolio planning activities, including prioritization, investment tracking, budgeting, and performance reporting</li><li>
Define and monitor key performance indicators to measure program effectiveness, business outcomes, adoption, and value realization</li><li>
Drive change management efforts that support organizational readiness, adoption, and sustainable implementation of new capabilities</li><li>
Identify opportunities to improve operating models, streamline processes, and enhance data and analytics delivery effectiveness</li><li>
Build strong relationships with senior leaders and serve as a trusted advisor for strategic decision-making and transformation initiatives</li><li>
Foster collaboration across diverse stakeholders and influence outcomes in a highly matrixed environment</li><li>
Develop repeatable frameworks, playbooks, and best practices that support consistent execution and continued program success</li></ul><h2 class="jobSectionHeader"><b>
</b></h2><h2 class="jobSectionHeader"><b>Required Qualifications, Capabilities, and Skills</b></h2><ul><li>
Bachelor's degree in Business, Finance, Economics, Data Analytics, Computer Science, Engineering, or a related field</li><li>
8+ years of experience in product management, transformation, program management, strategy, or a related discipline</li><li>
Proven experience leading large-scale, complex initiatives across multiple stakeholder groups within a matrixed organization</li><li>
Advanced knowledge of product management principles, product lifecycle management, and Agile delivery methodologies</li><li>
Strong analytical and problem-solving skills with the ability to translate complex business challenges into actionable strategies and solutions</li><li>
Experience developing executive-level communications, dashboards, presentations, and business recommendations</li><li>
Demonstrated ability to manage competing priorities and drive execution in fast-paced, evolving environments</li><li>
Strong stakeholder management, influencing, and relationship-building skills across senior leadership teams</li><li>
Ability to leverage data and metrics to support decision-making, prioritization, and performance management</li><li>
Excellent verbal and written communication skills with the ability to articulate complex concepts to technical and non-technical audiences</li></ul><h2 class="jobSectionHeader"><b>
</b></h2><h2 class="jobSectionHeader"><b>Preferred Qualifications, Capabilities, and Skills</b></h2><ul><li>
Experience within financial services, banking, fintech, or a highly regulated industry</li><li>
Knowledge of AI/ML technologies, data management principles, and modern analytics platforms</li><li>
Experience supporting enterprise transformation, data, analytics, or AI modernization initiatives</li><li>
Familiarity with AI governance, model risk management, data controls, and regulatory considerations</li><li>
Experience working with global teams and managing initiatives across multiple regions</li><li>
Strong background in portfolio management, strategic planning, or operating model design</li><li>
Demonstrated success delivering business outcomes through cross-functional collaboration and influence</li></ul><div>
</div><p></p><p><b>Employer Description</b></p><p>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.</p><p>
</p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><p></p><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
<br>
<div>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.<br>
</div><div></div><br>
<div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

AI/ML Data and Analytics - Product Manager, Vice President

Edra

<div>
 <strong>
  About Edra
  <br/>
  <br/>
 </strong>
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 <br/>
 <br/>
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for Backend Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and systems that are a pleasure for other engineers to work with. You won't be building AI models, you'll be building everything around them: the platform, workflows, interfaces, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 <br/>
 <br/>
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build platform systems in Python (Fast API), from API contracts to database schema and infrastructure
  </li>
  <li>
   Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
  </li>
  <li>
   Build internal libraries, tooling, and interfaces that make the rest of the engineering team more productive
  </li>
  <li>
   Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets
  </li>
  <li>
   Wear multiple hats across the stack&ndash;you might design a schema in the morning, build the API layer in the afternoon, and debug a deployment issue before end of day
  </li>
  <li>
   Participate in weekly product meetings, understand how customers and forward deployed engineers use what you build, and shape what gets built next
  </li>
  <li>
   Collaborate daily with a small, high-caliber team of engineers and AI specialists
  </li>
  <li>
   Have direct influence on technical direction: choose tools, set patterns, and establish conventions the team will build on for years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in software engineering (but a computer science degree is not necessarily required)
  </li>
  <li>
   A love of writing Python and/or TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
  </li>
  <li>
   Experience building libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
  </li>
  <li>
   You light up when designing a clean database schema and take real pride in getting data models right
  </li>
  <li>
   You're at your best when you own a problem end to end &mdash; comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
  </li>
  <li>
   You're drawn to building foundational systems from scratch &mdash; greenfield work where your decisions compound over time excites you
   <br/>
   <br/>
  </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 <br/>
 <br/>
 <strong>
  Learn More About Edra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Watch our Series A announcement video
  </li>
  <li>
   Read our blog post from our launch
  </li>
  <li>
   Learn more about what we're building
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Few Details
  <br/>
  <br/>
 </strong>
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 <br/>
 <br/>
 Compensation Range: $195K - $275K
 <br/>
 <br/>
</div>


Software Engineer - Back End (New York)

The New York Times

<div><div><div><div><div><div><p><b>The </b><b>mission</b><b> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.</b></p>
</div>
</div></div></div></div><p><b>About the Role, Mission or Department Overview</b></p>
<p>
The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.</p><br>
<p></p>
<p>
You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.</p>
</li>
<li><p>You will fine-tune and evaluate language models for custom use cases and content enrichment.</p>
</li>
<li><p>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important</p>
</li>
<li><p>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs</p>
</li>
<li><p>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches</p>
</li>
<li><p>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups</p>
</li>
<li><p>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</p></li></ul><br>
<p>
</p><p><b>Basic Qualifications:</b></p>
<ul>
<li><p>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline</p>
</li>
<li><p>2+ years experience with open source machine learning or statistical analysis tools</p>
</li>
<li><p>2+ years coding experience in Python</p>
</li>
<li><p>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis</p>
</li>
<li><p>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</p></li></ul><br>
<p>
</p><p><b>Preferred Qualifications:</b></p>
<ul>
<li><p>1+ years of experience with information retrieval or search systems</p>
</li>
<li><p>1+ years of experience translating ambiguous business questions into machine learning problems</p>
</li>
<li><p>1+ years of experience building data products, either internal or consumer-facing</p>
</li>
</ul><p>REQ-020337</p><p></p><div><p><br>
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.</p>
<p>
For roles outside of the U.S., information on benefits will be provided during the interview process.</p>
<p>
We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.</p>
<p>
If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.</p>
<p>
The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p>
<p>
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.</p>
<p>
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p>
<p>
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p>
<p>
For information about The New York Times' privacy practices for job applicants click here.</p>
<p>
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p>
<p>
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</p></div></div><p></p>

Machine Learning Scientist, New AI Products and Platforms

Foot Locker

<div>Overview:
<div>
Great brands reflect culture. The best ones help shape it. At Foot Locker, we&rsquo;re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.<br>
<br>
As part of the DICK&rsquo;S Sporting Goods family, you&rsquo;re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We&rsquo;re looking for great people who want to influence culture and the generation that is shaping what&rsquo;s next.<br>
<br>
Whether you&rsquo;re building strategy, shaping innovations, or creating unforgettable customer moments, you&rsquo;ll contribute to decisions and experiences that define our brands&rsquo; impact in the communities we serve.<br>
<br>
Come change the game with us. Apply today!</div><div><b>
Hybrid (3 days in NYC office)</b></div><div></div><p><b><br>
At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization)</b></p><p></p><div><br>
We are seeking a visionary and results-driven Sr. Manager to lead global merchandising technology with a focus on planning platforms. This role is responsible for defining and delivering the technology strategy, advancing modern platform capabilities, and enabling business outcomes across allocation, assortment planning, merchandising financial planning (MFP), and buying.</div><div>
This leader will drive modernization of legacy systems, operate within a product-based delivery model, and leverage data, analytics, and AI-driven solutions to improve decision-making and operational performance.</div><div>
The role operates within a complex global business model spanning multiple regions and markets and supports a distributed delivery organization, including significant offshore engineering and support teams.</div><div>
This position leads a global team of ~10&ndash;15 technology professionals and owns measurable business outcomes including inventory productivity, forecast accuracy, allocation efficiency, and platform performance.</div>
Responsibilities:
<div><b>
Technology Strategy &amp; Roadmap</b></div><ul><li>
Define and execute a comprehensive technology roadmap aligned with business strategy</li><li>
Identify, evaluate, and implement modern platforms supporting merchandising and commercial capabilities</li><li>
Lead evaluation and selection of third-party platforms, including RFP processes and vendor assessments</li><li>
Lead modernization of legacy platforms (including mainframe) into scalable, cloud-native architectures</li><li>
Drive adoption of API-first, event-driven, and composable platform designs</li><li>
Ensure solutions support global scalability while accommodating regional business models and regulatory requirements</li><li>
Manage and optimize the technology budget to ensure cost-effective delivery</li><li>
Define, track, and report on KPIs tied to business value and system performance</li><li>
Identify and reduce technical debt to improve scalability and maintainability</li></ul><div></div><div><b><br>
Core Platforms &amp; Capabilities</b></div><ul><li>
Oversee delivery, support, and continuous improvement of core systems and capabilities, including:</li><li>
Allocation &amp; replenishment</li><li>
Assortment &amp; space planning</li><li>
Merchandising financial planning (MFP)</li><li>
Size &amp; pack optimization and buying</li><li>
Lead end-to-end implementation of packaged (SaaS / vendor) solutions, including solution design, configuration, integration, and deployment</li><li>
Partner with business stakeholders to ensure systems are configured to support business processes and scalability</li><li>
Ensure high levels of data accuracy, operational integrity, and consistency across enterprise platforms</li><li>
Support legacy systems while driving a clear transition strategy to modern platforms</li><li>
Ensure compliance with enterprise security, privacy, and data governance standards</li></ul><div></div><div><b><br>
Engineering Excellence &amp; Architecture</b></div><ul><li>
Establish best-in-class engineering and solution architecture practices</li><li>
Drive high standards for system reliability, performance, scalability, and maintainability</li><li>
Guide architectural decisions across platforms, integrations, and third-party solutions</li><li>
Define integration patterns and frameworks for connecting enterprise systems and data platforms</li><li>
Champion DevOps and engineering best practices to improve speed, quality, and transparency</li></ul><div></div><div><b><br>
Team Leadership &amp; Product Delivery</b></div><ul><li>
Lead and develop a globally distributed team of 10&ndash;15 across engineering, integration, and quality engineering</li><li>
Operate within a product-based delivery model with clear ownership of capabilities and outcomes</li><li>
Foster a high-performance culture focused on accountability, delivery excellence, and continuous improvement</li><li>
Lead a distributed team across onshore and offshore resources, ensuring effective collaboration across time zones and regions</li><li>
Establish and optimize global delivery models, including offshore and partner teams</li><li>
Drive consistency in engineering standards, delivery practices, and governance across a global organization</li><li>
Drive accountability for successful platform rollouts, adoption, and post-implementation optimization</li><li>
Define vendor strategy including build vs. buy decisions and manage consulting and SaaS partners to maximize value</li><li>
Oversee execution of multiple large-scale, cross-functional initiatives</li></ul><div></div><div><b><br>
Cross-Functional Collaboration &amp; Change Managemen</b><b>t</b></div><ul><li>
Partner closely with merchandising, commercial, finance, operations, and data teams</li><li>
Align technology initiatives with business priorities to deliver measurable outcomes</li><li>
Lead cross-functional decision-making, managing risks, dependencies, and trade-offs</li><li>
Facilitate alignment between business process design and system configuration during implementations</li><li>
Navigate regional business requirements, balancing global standardization with local market needs</li><li>
Drive organizational change management, including user adoption, training, and process transformation</li></ul><div></div><div><b><br>
Data, Analytics &amp; Innovation</b></div><ul><li>
Leverage advanced analytics, data platforms, and AI/ML models to improve decision-making and operational performance</li><li>
Partner with data engineering and analytics teams to enable scalable, high-quality data solutions</li><li>
Enable data-driven capabilities such as optimization, forecasting, and performance analysis</li><li>
Drive innovation through adoption of emerging technologies and modern platform capabilities</li><li>
Provide thought leadership across business and technology domains</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Business, or a related field</li><li>
7+ years of experience in retail or merchandising technology leadership roles</li><li>
Proven track record of delivering large-scale merchandising technology solutions</li><li>
Hands-on experience implementing and configuring merchandising planning systems (e.g., allocation, planning, MFP, or similar domains)</li><li>
Experience leading engineering teams across multiple disciplines (development, integration, QA)</li><li>
Expertise with leading legacy and commercial merchandising platforms (e.g., Oracle, o9, SAS, Zebra, or similar)</li><li>
Experience with both legacy/mainframe systems and modernization to cloud-native architectures</li><li>
Strong understanding of data platforms, analytics, and AI/ML-driven retail solutions</li><li>
Experience operating in global, multi-region retail environments</li><li>
Hands-on experience with budgeting, prioritization, and resource planning</li><li>
Experience managing vendors, SaaS platforms, and consulting partners</li><li>
Excellent leadership, communication, and stakeholder management skills</li><li>
Ability to operate effectively at both strategic and execution levels in a fast-paced environment</li><li>
Experience leading globally distributed teams, including offshore development and support models</li><li>
Proven ability to operate effectively across time zones, cultures, and regional business structures</li></ul><div></div><div><br>
At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines:</div><ul><li>
Cameras must be on for all virtual interviews.</li><li>
AI tools are strictly prohibited during interviews or assessments.</li></ul><div>
We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.</div>
Benefits:
<div>
The annual base salary range is $140,000 - $180,000. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below.
</div><div>Foot Locker Benefits:</div><ul><li>
Employee Discount</li><li>
Paid Time Off</li><li>
Medical | Dental | Vision Coverage</li><li>
401(k) | Roth 401(k)</li><li>
Stock Purchase Plan</li><li>
Life Insurance</li><li>
Flexible Spending Account</li><li>
Opportunities for Advancement</li><li>
Tuition Reimbursement for Qualified Courses</li><li>
Strong Company Culture</li><li>
Employee Resource Groups</li></ul></div>

Sr. Manager Merchandising Technology - Planning and Allocation

EMCOR

<div>About Us:
<div></div><div>
We offer complete building controls and engineering solutions, including precision design, software programming, graphics, and commissioning. Combining leading-edge technology, open-protocol solutions, and customized service, we help clients improve building management for greater efficiency, comfort, and security.</div>
Job Summary:
<div><b>
Summary:
</b></div><p>Control Solutions Group, Inc. seeks a Building Management Systems (BMS) Field Engineer (Programmer) to program, develop graphics, deploy, diagnose, troubleshoot, and commission BAS / BMS Systems in a construction environment. The individual must be able to program, develop graphics for, deploy, diagnose and troubleshoot complex issues relating to controls, BMS, BAS, DDC, Building Automation, Building Management, EPMS and Energy Management Systems as well as supervise installation subcontractors and coordinate related construction activities.</p><div><b>
Description:
</b></div><div><b>Scope</b></div><div>
The BMS Field Engineer is capable of developing both hardware engineering (drawings/submittals) and software (programming and graphics) in the field in consultation with the appropriate parties and is also responsible for all aspects of field coordination of controls projects. The intent is that this individual work exclusively in the field, can be assigned a newly booked project and can handle it from start to finish. The individual must possess all of the necessary technical, communication and coordination skills to complete smaller projects entirely autonomously.</div><div><b>
Duties</b></div><ul><li>
Develop the necessary project programming and graphics to be compliant with specified sequences and graphics requirements while conforming to previously established site standards.</li><li>
Deploy system files (programming, graphics and front end configuration files) on job sites, confirm proper functionality, and make the necessary adjustments.</li><li>
Participate in multiple automation installation projects.</li><li>
Consult with Project Manager regarding scope additions and deductions, priorities and deadlines.</li><li>
Review contract documents and reconcile with RFIs, and project correspondence regarding approved additional scope to determine what scope should and should not be executed and confirm with the Project Manager.</li><li>
Devise solutions to complete portions of scope required to permit subsequent trade work to commence on time.</li><li>
Support Technicians and Field Supervisors as necessary on projects.</li><li>
Develop and maintain a cooperative working relationship with members of the company, clients, subcontractors, and other trade contractors.</li><li>
Anticipate and be able to meet short and/or unpredictable deadlines.</li><li>
Troubleshoot and repair building automation system panels, including communications equipment, printed circuit boards, power supplies, electrical/electronic controls, sensors, and transducers.
</li><li>Efficiently edit computer programs for building automation system points such as determining conversion patterns, defining point acronyms, and/or soliciting alarm specifications from operating personnel.</li><li>
Implement energy conservation measures by utilizing and/or modifying the existing building automation system features i.e. mathematical computation and environmental controls.</li><li>
Plan, organize and carry out assigned job responsibilities within established time parameters.</li><li>
Maintain confidentiality.</li></ul><ul><li>
Assist in Junior technician or programmer evaluation and training</li><li>
Continuously seek to improve knowledge of required job skills and stay abreast of industry changes.</li></ul><div></div><div><b><br>
Qualifications</b></div><br>
<div></div><ul><li>
Minimum 5-7 years field experience in the HVAC controls industry including DDC Systems commissioning, software integration operation, calibration, and experience with pneumatic controls.</li><li>
Knowledge of Automated Logic commissioning tools and field circuit debugging skills preferred.</li><li>
Understanding of the construction industry with emphasis in mechanical/electrical fields.</li><li>
Able to read and understand sequences of operation</li><li>
Strong communication, organizational and documentation skills.</li><li>
Proficient in Microsoft Office, WebCTRL, AutoCad, various operating systems.</li><li>
Proven track record of completing jobs on schedule, being self-motivated and achieving full customer satisfaction.</li></ul><div>
We are looking for a Field Engineer who works well in a team environment and is also able to work independently with minimal supervision. Our BAS Field Engineers must be self-motivated and have superior decision making and problem-solving skills. Our programmer positions require excellent customer service and client relations skills.
</div><div>We are looking for a Field Engineer who works well in a team environment and is also able to work independently with minimal supervision. Our BAS Technicians must be self-motivated and have superior decision making, problem-solving, and negotiation skills. They must also be skilled at planning, scheduling, and meeting deadlines. Our technician positions require excellent customer service and client relations skills.</div><div></div><div><br>
We are looking for a Field Engineer who works well in a team environment and is also able to work independently with minimal supervision. Our BAS Field Engineer must be self-motivated and have superior decision making, problem-solving, and negotiation skills. They must also be skilled at planning, scheduling, and meeting deadlines. Our technician positions require excellent customer service and client relations skills.</div><div></div><div><br>
Salary Range: 90K to 130K depending on experience</div><div></div><div><br>
We offer our employees a comprehensive benefits package. As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, EMCOR Group is committed to its employees. This commitment is embodied in our competitive benefits package, which includes medical, dental, and vision coverage, as well as flexible spending accounts, life insurance, disability income, an Employee Stock Purchase Plan, 401(k) Savings Plans, and employee assistance and wellness programs. We are always looking for individuals with the talent and skills required to contribute to our continued growth and success.</div><div>
Equal Opportunity Employer/Veterans/Disabled</div><div>
Control Solutions Group, Inc. is an equal opportunity employer and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.</div><div>
Notice to prospective employees: There have been fraudulent postings and emails regarding job openings. EMCOR Group and its companies. Please check our available positions to confirm that a post or email is genuine. EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR&rsquo;s normal application process &ndash; it is probably fraudulent.</div><div>
#CSG</div>
Equal Opportunity Employer: As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/Disabled Affirmative Action Policy:
<div>
Please review our Affirmative Action Policy.</div>
Notice to Prospective Employees: Notice to prospective employees: There have been fraudulent postings and emails regarding job openings. EMCOR Group and its companies list open positions here. Please check our available positions to confirm that a post or email is genuine. EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR&rsquo;s normal application process &ndash; it is probably fraudulent.</div>

BMS Field Engineer

JACKPOT

<div><p><b>ABOUT THE ROLE:</b></p>
<p>
We're looking for a Director of Data &amp; Analytics, responsible for shaping the vision, strategy, and execution across Data Analytics and Data Science. Reporting to the Chief Strategy &amp; Data Officer, you'll build and manage a data organization that powers product development, personalization, experimentation, and business intelligence. You'll have an AI-first mentality in proactively seeking new and innovative ways to embed AI in our data organization.</p>
<p>
If you're looking for the opportunity to build a modern data organization from the ground up at a high-growth consumer startup &mdash; this may be the perfect role for you.</p>
<p><b>
While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify.</b></p>
<p><b>
WHAT YOU'LL DO:</b></p>
<ul>
<li>Set the vision and strategy for Data Analytics and Data Science</li>
<li>Partner with Data Engineering to modernize our data infrastructure</li>
<li>Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability</li>
<li>Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business</li>
<li>Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction</li>
<li>Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making</li>
<li>Create dashboards and analytical tools to empower self-service and automate insights</li>
<li>Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks</li>
<li>Champion data-driven decision-making and raise the data IQ across the company</li>
</ul>
<p><b>YOU IDEALLY HAVE:</b></p>
<ul>
<li>10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams.</li>
<li>Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.).</li>
<li>Strong technical proficiency in SQL and Python.</li>
<li>Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more</li>
<li>Experience building and maintaining production-level data pipelines and ML models.</li>
<li>Experience with A/B testing frameworks, causal inference, and experimentation platforms</li>
<li>Demonstrated ability to translate sophisticated data concepts into clear, actionable insights.</li>
<li>Excellent communication, prioritization, and stakeholder-management skills.</li>
</ul><h3 class="jobSectionHeader"><b>IT'S A BONUS IF YOU HAVE:</b></h3>
<ul><li>Background in gaming, lottery, fintech, or other regulated industries</li>
<li>Experience with real-time data architectures (Kafka, Kinesis)</li>
<li>Experience with consumer personalization systems, recommendation models, or lifecycle optimization</li>
<li>Familiarity with MarTech and CDPs (Optimove, Braze, etc)</li>
<li>Expertise in LTV modeling, and fraud/risk models</li>
<li>Experience in high-growth consumer or tech startups</li>
</ul>
<p><b>ABOUT YOU:</b></p>
<ul>
<li>You work extremely well cross-functionally and are autonomous and proactive in your output</li>
<li>You thrive under competing priorities and know how to structure your time and team</li>
<li>You have grit, perseverance, and a founder mentality</li>
<li>You are solutions-oriented, adaptable, and calm in ambiguity</li>
<li>You embrace feedback and continuous learning - you're not a finished product and don't want to be</li>
</ul>
<p><i>One of Jackpot's core values is Lifelong Learning. We don't believe we are ever finished products and strongly believe in growing and developing to improve ourselves. If what you've read so far sounds exciting but your experience doesn't quite match what we're looking for, we strongly encourage you to apply anyway! We are committed to building a diverse, inclusive team where everyone can feel proud to contribute to.</i></p>
<p><b>
WHAT WE CAN OFFER:</b></p><br>
<ul>
<li>$170,000-$200,000 base salary + bonus + equity</li>
<li>The opportunity to have a voice, say, and &quot;leave your fingerprints&quot; on our product and business</li>
<li>A commitment to provide you with the benefits of a start-up career without the start-up pains</li>
<li>Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.)</li>
<li>401(k)</li>
<li>Paid parental leave</li>
<li>PTO/Sick Time</li>
<li>Dedication to Lifelong Learning through our Monthly Speaker Series</li>
<li>A culture of trust and accountability</li></ul></div>

Director of Data & Analytics

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