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Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
<div><div>Job Description</div>
</div><div><div><div><div><div><div><div><div><div>Citi is seeking a highly motivated and curious junior engineer as a trading tool developer to work embedded within the Systematic &amp; Credit Portfolio Trading business. This role is based directly on our trading floor, offering a unique opportunity for in-person collaboration with traders, quants, and product development. You will rapidly iterate on revenue-making &amp; risk-reducing tooling, learn the business context, and balance strategic builds versus immediate needs. This position provides an outstanding opportunity for a developer to directly experience the impact of their work and help grow a new strategic trading desk.
Key Responsibilities:
<ul><li>Define trade tooling business requirements directly with traders
</li><li>Work collaborative with traders, quants and product dev team to develop trading tools (such as portfolio optimization, P&amp;L analysis, trading recommendations etc.)
</li><li>Maintain an ecosystem for rapid application tooling that can support contributions directly from traders in a sustainable manner
</li><li>Leverage Python and React to create high quality software that can be delivered and adapted at the pace the business operates
</li><li>Collaborate with production support to ensure stability and maintainability of critical trading functions
</li></ul>Required Skills / Experience:
<ul><li>2-3 years of building applications and tools in Java or similar language
</li><li>Experience with containerized deployment Kubernetes/OpenShift, Helm and Docker
</li><li>Strong engineering fundamentals - managing complexity and designing for stability and maintainability
</li><li>Experience with CI/CD tooling such as Jenkins, Harness, etc.
</li><li>Experience analyzing complex data sets and drawing evidence-based conclusions
</li><li>Experience using agentic coding agents to accelerate development while maintaining high quality code and comprehensibility of the resulting system
</li><li>Excellent oral and written communication skills
</li><li>Prior experience in Credit or other secondary trading businesses is a plus
</li></ul>Education:
Bachelor&rsquo;s degree/University degree or equivalent experience
</div></div></div></div></div></div></div></div></div>-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Primary Location:</h2>
New York New York United States
-
<h2 class="jobSectionHeader">Primary Location Full Time Salary Range:</h2>
$95,770.00 - $133,630.00 
 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
<h2 class="jobSectionHeader">Anticipated Posting Close Date:</h2>
Jun 29, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Systematic and Credit Portfolio Trading Tool Developer, Officer

Netbuilder

Location: New York (office-based) with travel to client sites as requiredSalary: Up to $140,000 per year (dependent on experience)Role type: Full-time, permanentDepartment: Technology Consulting &ndash; Observability PracticeNETbuilder is building an Observability Practice, and this is a senior delivery hire into it. You will join as a senior data pipeline engineer, working hands-on inside enterprise client teams to architect, deploy and operate the observability platforms and telemetry pipelines that sit at the heart of modern observability.This is primarily a hands-on delivery role &ndash; a senior individual-contributor position rather than a line-management one. Your focus is engineering across two fronts: designing and deploying the observability platforms themselves, and building the data pipelines that collect, route, transform, enrich and deliver telemetry reliably and cost-effectively across complex enterprise environments. You will be the senior technical authority on observability platform architecture and data pipelines for the engagements you work on. While there is no permanent team to manage, on specific engagements you will provide technical leadership &ndash; mentoring junior engineers, planning the workstream and allocating tasks across the delivery team.Consulting experience is preferred but not essential &ndash; what matters most is deep, current, hands-on expertise with industry-standard observability platforms and their pipeline and transformation tooling. If you would rather solve hard data-engineering and platform problems and lead through expertise than carry permanent people-management responsibility, this is the role.Key Responsibilities:Pipeline Engineering &amp; Delivery<ul><li>Design, build and operate telemetry pipelines that collect, route, transform, enrich, reduce and mask logs, metrics and traces at enterprise scale</li><li>Develop and maintain data transformation logic &ndash; parsing, restructuring, filtering and normalising telemetry across formats and schemas</li><li>Optimise pipelines for data quality, cost control and performance &ndash; reducing noise and volume without losing signal</li><li>Onboard complex applications and data sources onto observability platforms</li><li>Build, test and document reusable pipeline configurations, processors and templates</li><li>Monitor pipeline health and throughput, and troubleshoot ingestion, routing and delivery issues</li></ul>Platform Architecture &amp; Deployment<ul><li>Architect observability platform deployments &ndash; topology, sizing, high availability, resilience and scaling &ndash; to meet enterprise client requirements</li><li>Deploy, configure and operate observability platforms and their collection/agent fleets across cloud, hybrid and on-premises environments</li><li>Define deployment patterns and infrastructure-as-code for repeatable, automated platform rollouts</li><li>Integrate observability platforms with client infrastructure, data sources and downstream destinations</li><li>Own platform health, upgrades and capacity planning, and keep architecture and deployment documentation current</li></ul>Client Delivery<ul><li>Deliver observability platform and pipeline engagements directly with enterprise clients as a senior practitioner</li><li>Own delivery outcomes for the platform and pipeline workstreams on assigned engagements</li><li>Act as senior technical authority and escalation point for platform architecture, deployment and data pipeline issues</li><li>Lead troubleshooting and root-cause analysis across enterprise observability platforms and telemetry pipelines</li><li>Support pre-sales with technical scoping and solution design for platform and pipeline work</li><li>Translate client requirements into platform and pipeline designs that balance coverage, cost and compliance</li></ul>Engagement Leadership &amp; MentoringThis is engagement-scoped technical leadership rather than permanent line management &ndash; on specific engagements you will:<ul><li>Provide technical leadership as the senior practitioner, setting direction and quality standards for the platform and pipeline workstream</li><li>Plan the workstream &ndash; scope the work, sequence the tasks and allocate them across the engagement delivery team where required</li><li>Mentor and coach junior engineers and consultants working alongside you, sharing platform and pipeline expertise on the job</li><li>Co-ordinate with the wider engagement team and report progress on the workstream</li></ul>Tooling &amp; Practice Contribution<ul><li>Work hands-on across the observability tool landscape (see preferred tools below), applying each platform's architecture, deployment and data-pipelining capabilities</li><li>Stay current with platform capabilities, roadmaps and certifications</li><li>Contribute to NETbuilder's platform and pipeline methodology, toolkits and reusable assets</li></ul>Qualifications and Experience:<ul><li>Senior data pipeline engineering experience: demonstrable hands-on track record designing, building and operating telemetry/observability data pipelines at enterprise scale</li><li>Platform architecture and deployment experience: hands-on experience designing, deploying and operating observability platforms (topology, sizing, high availability and scaling) across cloud, hybrid and on-premises environments</li><li>Data transformation expertise: strong practical experience with parsing, routing, filtering, enrichment and normalisation of log, metric and trace data</li><li>Tooling experience: hands-on experience with the architecture, deployment and data-pipelining functionality of one or more industry-standard observability platforms (see preferred tools below)</li><li>Engagement leadership: comfortable mentoring junior engineers and planning and allocating tasks within a delivery team on an engagement, without formal line-management authority</li><li>Consulting experience: preferred but not essential &ndash; comfortable working directly within enterprise client teams</li></ul>Preferred Tool Experience:Hands-on experience with the architecture, deployment and data-pipelining functionality of one or more of the following platforms, in order of preference:<ul><li>Bindplane (ObservIQ / Google)</li><li>Dynatrace (OpenPipeline)</li><li>OpenTelemetry (Collector &ndash; receivers, processors and exporters)</li><li>Cribl (Stream)</li><li>Elastic (ingestpipelines)</li><li>Splunk</li></ul>Preferred Certifications:Certification in one or more of the following is preferred:<ul><li>Dynatrace Professional (Dynatrace Master advantageous)</li><li>OpenTelemetry Certified Associate (OTCA) &ndash; also covers Bindplane, which is OpenTelemetry-native</li><li>Cribl Certified Engineer (CC Engineer) or Cribl Certified Observability Engineer &ndash; Admin (CCOE Admin)</li><li>Elastic Certified Engineer</li><li>Splunk Enterprise Certified Architect</li></ul>Key Skills:<ul><li>Platform architecture and deployment: designing observability platform topology (sizing, HA, scaling) and deploying/automating platform and pipeline infrastructure as code</li><li>Pipeline and transformation tooling: deep expertise in one or more observability platforms and their transformation languages and processors</li><li>OpenTelemetry: strong working knowledge of the OpenTelemetry Collector (receivers, processors, exporters) and OTLP</li><li>Scripting and automation: Python, Bash</li><li>Data formats and parsing: JSON, regex, syslog, and common log, metric and trace formats</li><li>Cloud platform knowledge: AWS, Azure, and/or GCP</li><li>Container and orchestration: Kubernetes, Docker, OpenShift</li><li>Familiar with delivery and project tooling: JIRA, Confluence, ServiceNow</li></ul>About You:<ul><li>A hands-on engineer who would rather architect and build a solution than sit in a management meeting</li><li>Happy to lead through expertise &ndash; mentoring others, planning a workstream and giving direction on an engagement, even without a formal management title</li><li>Comfortable working directly inside enterprise client teams and engaging senior stakeholders</li><li>Rigorous about data quality, cost and reliability &ndash; you care about getting the right signal at the right price</li><li>Self-managing, delivery-focused and comfortable in a fast-moving environment</li><li>Naturally curious &ndash; you keep pace with a fast-evolving observability tooling landscape</li></ul>About NETbuilder:NETbuilder is a leading provider of digital solutions, software, consulting and managed services. We work across multiple sectors with specialist expertise in financial services, government, and commercial markets. Since 1999 we have been providing end-to-end solutions across Digital Delivery, Development and Technology. At our core we are a Digital Transformation consultancy with capabilities for onsite, onshore and offshore delivery.You will join a world-class team of experienced consultants, helping to build a new observability practice within the NETbuilder group.Why NETbuilder:<ul><li>Join a new observability practice as a senior technical specialist, working with cutting-edge observability platforms</li><li>Work with enterprise clients across multiple sectors</li><li>Competitive base salary: $120,000 - $140,000 (dependent on experience)</li><li>Continuous investment in professional development and certification</li><li>High-performance, close-knit team culture where individual contribution is recognised</li><li>Office-based New York, with travel to enterprise client sites</li></ul>Pay: Up to $140,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid time off</li></ul>Application Question(s):<ul><li>Do you have a demonstrable hands-on track record of designing, building and operating telemetry/observability data pipelines?</li></ul>Ability to Commute:<ul><li>New York, NY 10036 (Required)</li></ul>Willingness to travel:<ul><li>25% (Required)</li></ul>Work Location: In person

Senior Data Pipeline Engineer

Kairon Health

<div><h1 class="jobSectionHeader">About Kairon Health</h1>
Kairon is the execution layer for healthcare. We turn fragmented claims and clinical data into actionable workflows that help ACOs and health networks actually capture their shared savings &mdash; not just measure them after the fact.
We&rsquo;re a seed-stage team of &lt;10, working with real customers managing real patient populations. Our platform spans practice intelligence, care operations, patient activation, and performance analytics. We&rsquo;re AI-native &mdash; not as a buzzword, but because our team builds with Claude, automated transcription, and intelligent workflows as core infrastructure, not bolt-on features.
We&rsquo;re at the stage where our early customers love the product and we need to make onboarding, support, and ongoing operations repeatable without losing the high-touch quality that got us here.<h1 class="jobSectionHeader">
Position Overview</h1>
We&rsquo;re seeking a Senior Product Engineer, Data Applications to own the product layer where data meets decision-making. You&rsquo;ll build the data-powered applications that surface intelligence directly to users &mdash; from the Performance App and ACO-in-a-Box tooling to interactive reporting, scorecards, and next-generation analytics experiences.
This is a full-stack, product-oriented engineering role. You&rsquo;ll design and implement end-to-end solutions (data models, APIs, and UI components) that bring Kairon&rsquo;s insights to life for practice leaders. You&rsquo;ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.
You&rsquo;ll thrive here if you&rsquo;re as excited about what you build as why you&rsquo;re building it: an engineer who understands product trade-offs, can shape features from user requirements, and enjoys turning messy data into meaningful, elegant applications.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches.</li><li>
Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the Kairon platform.</li><li>
Collaborate with product and analytics: Translate user needs and clinical/financial metrics into intuitive visualizations and actionable interfaces.</li><li>
Advance in-app intelligence: Integrate data pipelines, LLM insights, and healthcare analytics into user-facing modules (Performance App, ACO-in-a-Box, CRM, and others).</li><li>
Uphold scalability and quality: Design for maintainability, reusability, and performance; implement tests and observability to ensure reliability.</li><li>
Contribute to design &amp; UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.</li><li>
Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.</li><li>
Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
6+ years of professional experience building production web applications (frontend + backend).</li><li>
Strong proficiency in Python, Django/DRF, Vue, and SQL; experience with data visualization frameworks and API design.</li><li>
Experience designing or consuming data models and ETL pipelines (e.g., Snowflake, dbt, or similar).</li><li>
Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.</li><li>
Familiarity with healthcare, analytics, or enterprise SaaS environments.</li><li>
Clear communication and cross-functional collaboration skills; comfort working directly with product and leadership.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Experience in healthcare or value-based care analytics, EHR data, or claims data models.</li><li>
Prior work integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.</li><li>
Strong understanding of data visualization principles and UX for analytics products.</li><li>
Background that spans both engineering and product management (technical PM, full-stack data apps, or similar hybrid roles).</li><li>
Previous experience in an early-stage or high-growth startup environment.</li></ul><h1 class="jobSectionHeader">
Why This Role</h1><ul><li>
Impact. You&rsquo;re not maintaining someone else&rsquo;s machine. You&rsquo;re building customer operations from the ground up at a company where the work directly affects whether patients get better care.</li><li>
Growth. This role has a clear trajectory. Depending on your strengths and interests, this becomes Head of Customer Success, Director of Implementations, or a Product leadership role as we scale. You&rsquo;ll have the context and relationships to grow into whatever the company needs most.</li><li>
Stage. We&rsquo;re past the &ldquo;will this work?&rdquo; phase &mdash; customers are live and getting value. We&rsquo;re in the &ldquo;how do we do this 10x without breaking?&rdquo; phase. That&rsquo;s the most interesting operational puzzle in a startup.</li><li>
Equity. You&rsquo;ll have meaningful ownership as one of our first 10 hires, with a real seat at the table.</li></ul>
Diversity and inclusion are core to our culture. If you are a member of an underrepresented group in tech, we strongly encourage you to apply.
Compensation Range: $170K - $190K</div>

Product Engineer, Data

Didero

<div>
 At Didero, we&rsquo;re building the autonomous supply chain, starting with agentic supplier management.
 
 
 Global trade has never been more complex or more critical. Teams are underwater, reacting to a flood of challenges &mdash; from geopolitical risk to tariffs. Didero helps by automating time-intensive workflows with AI agents, deploying cutting-edge technology into one of the world&rsquo;s most vital domains.
 
 
 We&rsquo;re backed by some of the world&rsquo;s best venture funds and leading figures across AI, supply chain, and enterprise software.
 
 
 
 About The Role
 
 
 
 We're hiring an AI Applied Engineer to sit at the intersection of machine learning, agentic systems, and production software. You'll own the design and development of AI-powered workflows that automate high-stakes supply chain operations &mdash; building systems that actually think, act, and learn
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Design and ship production AI agents that automate supplier management workflows
 </li>
 <li>
 Own the full AI stack: model selection, prompt engineering, tool use, RAG pipelines, evals, and reliability.
 </li>
 <li>
 Architect agentic systems that integrate with communication platforms, ERPs, and third-party APIs.
 </li>
 <li>
 Drive quality through rapid iteration, build fast without shipping fragile systems.
 </li>
 <li>
 Collaborate with product and domain experts to translate messy real-world workflows into clean, scalable AI solutions.
 </li>
 <li>
 Shape how we approach applied AI at the company level, your opinions on architecture and methodology will matter.
 
 
 </li>
 </ul>
 
 
 You&rsquo;ll be successful in this role if you&hellip;
 
 
 
 
 <ul>
 <li>
 Have hands-on experience building and deploying LLM-based applications or AI agents in production.
 </li>
 <li>
 Think in systems; you understand how prompts, retrieval, memory, and tool calls interact at scale.
 </li>
 <li>
 Care about outcomes, not just outputs, you build evals and measure what matters.
 </li>
 <li>
 Are comfortable in ambiguous, fast-moving environments with short feedback loops.
 </li>
 <li>
 Write clean, maintainable code across the backend and can collaborate on frontend integrations.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 8+ years as an autonomous, resourceful engineer building and scaling real-world applications.
 </li>
 <li>
 Proven experience with LLMs, agentic frameworks (Pydantic, LangChain, LlamaIndex, custom), and AI workflow tooling.
 </li>
 <li>
 Strong Python (Django or FastAPI) and familiarity with TypeScript / React for integration work.
 </li>
 <li>
 Deep understanding of modern AI primitives: function calling, RAG, embeddings, structured outputs, evals.
 </li>
 <li>
 Strong communication skills, able to bridge technical and non-technical stakeholders effectively.
 
 
 </li>
 </ul>
 
 Bonus Points For:
 
 
 
 <ul>
 <li>
 Startup experience; founding engineer or early team member at a high-growth company.
 </li>
 <li>
 Experience with B2B SaaS workflow automation and complex enterprise integrations.
 </li>
 <li>
 Background in supply chain, procurement, or logistics tech.
 </li>
 <li>
 Designing highly scalable and distributed AI systems.
 </li>
 <li>
 Experience with a strongly typed language like C++, Java, Rust, Go
 </li>
 <li>
 Has a strong understanding of system design, object oriented programming and good programming fundamentals.
 
 
 </li>
 </ul>
 
 
 Tech Stack
 
 
 
 
 Django
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 React
 </li>
 <li>
 TypeScript
 
 
 </li>
 </ul>
 
 
 What We Value
 
 
 
 
 <ul>
 <li>
 We make the world feel smaller - We support each other and break down boundaries, both internally and for our customers
 </li>
 <li>
 We build supply chain magic - We push the boundaries of what technology can do and go above and beyond for our users
 </li>
 <li>
 We are lifelong learners - We move fast, embrace failure, and give feedback generously
 </li>
 <li>
 We show up - We&rsquo;re scrappy entrepreneurs, no job is beneath us
 </li>
 <li>
 We BELIEVE! - We&rsquo;re building a great, enduring company and we have fun doing it.
 
 
 </li>
 </ul>
 
 
 What we offer:
 
 
 
 
 <ul>
 <li>
 Competitive compensation and equity
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Unlimited PTO &mdash; we trust you to take the time you need
 </li>
 <li>
 Monthly wellness stipend via ClassPass
 </li>
 <li>
 Tech equipment for your setup
 </li>
 <li>
 Catered lunches (for those in the office)
 
 
 </li>
 </ul>
 Compensation Range: $200K - $300K
 
 
</div>

Applied AI Engineer

Paramount

<div>
 
 #WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
 
 
 We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
 
 
 
 Job Title
 
 : Software Engineer - AI Tooling &amp; Quality Engineering Platforms
 
 
 
 Team
 
 : Global Quality Engineering (GQE)
 
 
 
 Location
 
 : New York City, Los Angeles, San Francisco
 
 
 
 Overview
 
 
 
 Paramount Skydance Corp is seeking a Software Engineer to build AI‑powered tools, backend services, and internal platforms that support the Global Quality Engineering organization.
 
 This is not an &ldquo;in test&rdquo; role
 
 &mdash; you will be developing production‑grade software that accelerates test creation, triage, analysis, and automation workflows across GQE. You will contribute to intelligent systems that improve engineering efficiency and modernize how quality engineering is performed at scale.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build backend services, CLIs, and internal tools that integrate AI capabilities into GQE workflows.
 </li>
 <li>
 Implement features for AI‑assisted test generation, log summarization, and defect triage.
 </li>
 <li>
 Contribute to RAG pipelines, embeddings workflows, and LLM‑powered utilities under senior guidance.
 </li>
 <li>
 Integrate AI tooling into CI/CD pipelines and existing automation frameworks.
 </li>
 <li>
 Collaborate with QE, Platform, and Data Engineering teams to understand requirements and deliver practical solutions.
 </li>
 <li>
 Write clean, maintainable code and participate in code reviews and engineering best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience (Java, Kotlin, Python, or similar).
 </li>
 <li>
 Experience building backend services, APIs, or internal tools.
 </li>
 <li>
 Familiarity with LLMs, embeddings, or AI‑assisted development tools (GitHub Copilot, Cursor, etc.).
 </li>
 <li>
 Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Strong problem‑solving skills and interest in AI‑driven engineering.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Curiosity and willingness to learn AI‑driven engineering.
 </li>
 <li>
 Proficient coding fundamentals and attention to detail.
 </li>
 <li>
 Collaboration and communication across engineering teams.
 </li>
 <li>
 Ownership of assigned features and components.
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Delivery of reliable features within AI tooling platforms.
 </li>
 <li>
 Improved triage and test‑creation efficiency for GQE teams.
 </li>
 <li>
 Positive feedback from internal users on usability and impact.
 </li>
 <li>
 High code quality and consistent contribution to team velocity.
 
 
 </li>
 </ul>
 Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.
 
 
 
 Additional Information
 
 
 
 Hiring Salary Range: $115,920.00 - 173,880.00.
 
 
 The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
 </li>
 <li>
 Generous paid time off.
 </li>
 <li>
 An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.
 </li>
 <li>
 Opportunities for both on-site and virtual engagement events.
 </li>
 <li>
 Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
 </li>
 <li>
 Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
 
 
 </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 
 
 At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
 
 
 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
 
 
</div>

Software Engineer

Fubo

<div>About Fubo:

FuboTV Inc. is a consumer-first live TV streaming company that is defining the future of TV.

Ranked among Fast Company's Most Innovative Companies (2026) and the Financial Times' The Americas' Fastest-Growing Companies (2026, 2025), FuboTV owns Hulu + Live TV (entertainment), Fubo (sports) and Molotov (entertainment and sports), which stream in markets around the globe.

Our Mission:

Our mission is to deliver premium sports, news and entertainment programming through a best-in-class user experience that offers greater choice, flexibility and value.

About the Role:

*This role is a New York City based HYBRID position. Candidates must be located in NYC, and willing to come into the office on a hybrid basis, three times a week (Tuesday, Wednesday, Thursday).*

Fubo is looking for exceptional Frontend Web Engineers with a passion for crafting simple systems that solve complex problems.

As a Software Engineer on our Smart TV Team, you will work closely with an amazing Design and Product team to craft intuitive and elegant interactive experiences that belie their complexity. You will build performant, testable and maintainable code bases using modern javascript tooling.

We are looking for software engineers who care about code quality, uptime, performance, continuous integration and deployment, SOLID design principles, test-driven development, and agile (with a lowercase &quot;a&quot;) methodologies.

Our Frontend tech stack:
<ul>
<li>React</li>
<li>ES2016 and beyond</li>
<li>TypeScript</li>
<li>Webpack</li>
<li>ESLint</li>
<li>Jest + React Testing Library</li>
</ul>
Fubo Software Engineers have the following responsibilities:
<ul>
<li>Develop, test, maintain and improve software systems</li>
<li>Collaborate with other engineers and members of the Fubo team to determine priorities and best practices, and refine functional requirements</li>
</ul>
All Fubo Frontend Software Engineers must:
<ul>
<li>Have 2+ years of experience in delivering working software, preferably web applications</li>
<li>Write clean, well-tested code</li>
<li>Be familiar with at least one mature MV* framework</li>
<li>Be familiar with immutability concepts, CSS, and responsive design</li>
</ul>
The ideal candidate will also:
<ul>
<li>Enjoy working in a fast-moving startup environment in which individual contributors are trusted and depended upon to set technical direction</li>
<li>Believe that work-life balance is a characteristic of highly functioning engineering teams</li>
<li>Enjoy learning new things and sharing knowledge with coworkers</li>
<li>Take the initiative in identifying and removing roadblocks</li>
<li>Be a pleasure to work with in a professional environment</li>
<li>Be comfortable giving and receiving honest feedback</li>
<li>Be unafraid of failure</li>
<li>Enjoy disrupting the status quo</li>
<li>Have experience developing applications for Smart TVs or set-top boxes.</li>
</ul>
Perks &amp; Benefits:
<ul>
<li>At Fubo, you will have the opportunity to personally influence what live media looks like after it goes through its next big transformation</li>
<li>Fubo provides a highly competitive compensation based on experience and market standards</li>
<li>Robust benefit package including Health/Dental/Vision coverage 401k, Life Insurance, and commuter benefits</li>
<li>Free Premium Fubo Account</li>
<li>Unlimited PTO days and regular company-wide activities</li>
<li>Fubo's main headquarters are located in Midtown Manhattan, with offices in Paris, and Bangalore</li>
<li>Fubo is an e-verified company</li>
</ul>
Fubo's minimum base salary for this role if hired in New York City is $135,000 per year; maximum base salary for this role is $175,000 per year. Additionally, this role is eligible to participate in Fubo's equity plan, annual cash bonus plans, unlimited PTO, and a full range of medical benefits. The final offer amount will be at the company's sole discretion and determined by multiple factors, including years and depth of experience and expertise, and other business considerations.</div>

Software Engineer, SmartTV

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

Data Scientist

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