About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Our Servicing Engineering teams are building intelligent systems that personalize borrower experiences using machine learning. Today, most borrowers are treated the same, regardless of their financial situation. We’re changing that. As a Senior Software Engineer in this role, you’ll redefine how servicing decisions are made. You’ll turn machine learning models and signals into systems that shape real borrower interactions, including who we reach, how we engage, and which strategies we apply. You’ll evolve and scale our decisioning and experimentation systems to support faster iteration and more reliable measurement of strategy performance against borrower and business outcomes. Reporting to a Senior Engineering Manager, you’ll partner closely with Product and Machine Learning teams to run experiments, productionize model outputs, and build feedback loops that connect real-world outcomes back to model and strategy improvements. How you’ll make an impact - Improve how Servicing decisions are made by embedding machine learning models into product and operational workflows. - Enable faster learning and safer iteration by advancing our experimentation platform and improving how we evaluate strategy performance. - Increase the effectiveness of personalization strategies by designing and running controlled experiments that translate into measurable improvements. - Scale model-driven decisioning through resilient feature pipelines and real-time data integrations. - Define clear metrics and guardrails to ensure ML-powered systems remain measurable, explainable, and compliant as they shape more Servicing decisions. Minimum Qualifications - Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience - Experience owning delivery of ML-powered features from design through production deployment and measurement. - Hands on experience designing or contributing to experimentation systems, including running controlled experiments in live environments. - Experience building and maintaining data processing systems or pipelines that support model-driven decisioning. Preferred Qualifications - Experience with building or scaling ML-powered ranking, personalization, or recommendation systems in production environments. - Applied advanced experimentation methods beyond standard A/B testing. - Demonstrated incorporation of fairness, explainability, or governance considerations into ML-powered decision systems. - Led technical design decisions for distributed systems supporting ML-driven workflows. Position location This role is available in the following locations: Remote In-Office requirements. You will be required to work from the San Mateo, CA or Columbus, Ohio headquarters one week per quarter. Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $163,600—$226,400 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: - Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly - Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year - Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees - Affordable medical, dental, and vision coverage, with multiple plan options - Upstart covers 90% to 100% of the cost depending on the plans you choose - Health Savings Account contributions from Upstart for eligible plans - Income protection benefits, including company-paid Basic Life, AD&D, and Short- and Long-Term Disability coverage, with options to purchase supplemental coverage - Paid time off, sick and safe time, and company holidays - Paid family and parental leave to support caregiving and major life moments - Family-centered benefits through Carrot and Cleo, supporting fertility, parenthood, and caregiving - Employee Assistance Program (EAP) offering mental health support and life-centered resources - Financial wellness resources, including access to financial planning tools and a financial concierge service - Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you - Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from - Connection and community through team events and onsites, all-company updates, and employee resource groups (ERGs) - Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our four offices, located in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!). Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

Who We Are Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com. Our Ways of Working Babylist thrives as a remote-first company, with HQ team members located across the U.S. and Canada. We meet in person twice a year—once as a company and once by department to strengthen the relationships that power our work. We show up consistently, stay purpose-driven, leverage AI to amplify our impact, and achieve results—together, from anywhere. How We Build Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk. Our Tech Stack - React, Native iOS and Android - Ruby on Rails - AWS, Terraform - MySQL - Sidekiq - Redis - Shopify What the Role Is As Babylist’s Senior Engineering Manager, Machine Learning & Discovery+Site Monetization, you’ll lead the team driving the next era of our machine learning and personalization efforts across the product. This is a hands-on leadership role for a manager who remains technically fluent while scaling people, systems, and impact. You’ll manage and grow a high-performing ML-focused pod spanning product recommendations, search, PLPs, and site monetization, with a clear mandate: maximize revenue and user value across surface areas through personalization. You’ll guide the team on technical direction behind our homepage feed, “add next” experience, and other core personalization surfaces, while building the foundations for long-term ML excellence at Babylist. Who You Are - 3+ years of experience as a front-line manager delivering production-grade software or ML systems - 5+ years of experience as an individual contributor in ML or Data Science, plus proven experience leading teams that build end-to-end machine learning systems, ideally in personalization, recommendations, or consumer-facing ML products - Deep familiarity with the Python ML ecosystem (e.g., pandas, sklearn, xgboost, PyTorch) and comfortable reviewing designs, unblocking technical challenges, and setting high technical standards - Experience supervising ML Engineers and/or Data Scientists; bonus points for experience managing Software Engineers - Strong understanding of the full ML lifecycle, including data pipelines, workflow orchestration (e.g., Airflow), deployment, monitoring, and iteration in production - Product-minded: passionate about technology, but primarily motivated by solving real user problems and driving business impact - Experience working with large-scale, real-time or near-real-time data systems - Comfortable owning and evolving the ML tech stack end-to-end, from data and modeling through production systems - Background in consumer-facing products; experience in e-commerce, marketplaces, or complex user journeys is strongly preferred - You're comfortable and enthusiastic about working in an AI-forward environment where AI tools are part of daily operations How You Will Make An Impact - Build and lead the ML & personalization function: Hire, mentor, and support a multidisciplinary team (Machine Learning Engineers, Software Engineers, Product Manager, and occasional Designer), shaping the roadmap, standards, and culture for ML at Babylist - Own high-impact ML initiatives: Deliver personalization systems that improve discovery, engagement, and monetization across key surfaces, directly impacting business outcomes - Set technical and algorithmic direction: Define modeling approaches, data strategy, and system architecture in partnership with senior technical leaders, balancing experimentation with scalable execution - Be hands-on when needed: Review ML/DS designs and code, build proof-of-concept models, and conduct your own data science research to de-risk ideas and accelerate progress - Develop talent: Coach engineers on technical growth, career progression, and performance, combining strong technical standards with empowerment - Drive cross-functional alignment: Partner closely with Product, Design, Analytics Engineering, and Data to translate ambiguous business problems into clear technical direction - Understand the full funnel: Develop a deep understanding of Babylist’s user journeys, user feedback loops, and financial models — and how ML systems influence them end-to-end Why You Will Love Working At Babylist Our Culture - We work with focus and intention, then step away to recharge - We believe in exceptional management and invest in tools and opportunities to connect with colleagues - We build products that positively impact millions of people's lives - AI tools are as natural to how we work as your IDE or version control — we're not exploring this, we're living it. Growth & Development - Competitive pay and meaningful opportunities for career advancement - We believe technology and data can solve hard problems - We're committed to career progression and performance-based advancement Compensation & Benefits - Competitive salary with equity and bonus opportunities - Company-paid medical, dental, and vision insurance - Retirement savings plan with company matching and flexible spending accounts - Generous paid parental leave and PTO - Remote work stipend to set up your office - Perks for physical, mental, and emotional health, parenting, childcare, and financial planning About Compensation We use a market-based approach to compensation. The starting salary range for this role is: USD - $250,000 to $308,000 CAD - $230,000 to $288,000 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Important NoticesInterview Process & Consent Babylist uses AI to record and transcribe all interviews for evaluation purposes in accordance with CCPA and GDPR. By participating in an interview, you consent to this recording and transcription. Interview Integrity During the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join Babylist, all interviews, assessments, and take-home assignments must be completed independently. You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments. Any indication of third-party assistance or AI-generated responses will result in immediate disqualification. We may also verify educational credentials through third-party sources—providing false or misleading information will result in removal from consideration. Official Communication All communication will come only from the Babylist Talent Team via an @babylist.com email address. We will never request payment, bank information, or personal financial details. Be cautious of fraudulent outreach via non-company email addresses, messaging platforms (e.g., WhatsApp, Telegram), or unsolicited phone calls. Verify legitimate opportunities on our careers page. SMS Consent You may opt in to receive text message updates about your application or interviews. Opting out will not affect your application status—communication will continue via email or phone. Message and data rates may apply. Reply STOP to unsubscribe or HELP for assistance. See our Privacy Policy for more information.

Company OverviewAt Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department OverviewTETRA HARDWARE ELECTRICAL ENGINEERING Job Description - Responsible for the design and development of highly sophisticated communications products for professional and mission-critical markets. - Specifically, the role is an Electrical HW Engineer to develop Electrical Sub-Systems to meet stringent ETSI Specifications. - Ability to work with a team of highly qualified engineers to generate the overall design concept for the electrical system to meet the safety and signal integrity requirements for a specific product. This may include the detailed design of analog and digital circuitry, power management systems, and RF components. - Familiar with the integration process between the Hardware and Software teams, in particular with microcontrollers and digital signal processors (DSPs) that require hardware and software controls during the product development period. - Provide sound engineering analysis for design optimization utilizing tools like circuit simulation (e.g., SPICE), signal and power integrity analysis, and mathematical modeling tools. - Establish a correlation between simulation and experimental data to ensure a high level of confidence in determining the optimum design approach through the DFSS (Design for Six Sigma) Framework. Basic Requirements - Candidate must be pursuing a Bachelor's Degree or Professional Degree in Engineering (Electrical / Electronic) or equivalent course. Ability to work independently - Good oral and written communication skills. - Must be team-focused and highly self-motivated with a desire to explore new approaches and technology - Attain good debug skills with simulation test-benches and hardware emulation as well as provide functional verification, and manufacturing support. - Minimum internship period of 3 months, with availability to start in March or April 2026 #LI-MK2 Travel RequirementsNone Relocation ProvidedNone Position TypeIntern Referral Payment PlanNoEEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

Highlights Location: Remote (CET hours preferred) Language: Russian-speaking team; English B2+ required About Fundraise Up We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design. Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver. A Truly Global Product We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe. We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps. Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search. The Team We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing. Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. Biweekly engineering forums give space to share learnings and celebrate technical achievements. You’ll be joining a team where quality, mentorship, and mutual respect come first. About the Role We are looking for an experienced Team Lead to join our Elements team. In this role, you will lead the development of embedded "elements" — a suite of widgets that non-profits integrate into their websites to drive donations or display impact statistics. Tech Stack: Node.js, Preact, TypeScript, MongoDB, Cloudflare Workers, and Kafka. We already have a strong team of developers as well as a product and technical roadmap in place, but we are missing a strong technical leader to lead the team. What You'll Do - Lead a team of 3-5 Fullstack developers. - Write and review code (approximately 70/30 split in favor of management). - Ensure the team follows company processes and engineering guidelines. - Own the delivery of features and adherence to deadlines. - Make technical decisions, prepare technical designs for new features, and align them with neighboring teams and your manager. - Manage technical debt and maintain the technical backlog for your team. - Mentor and develop engineers; conduct regular 1:1 meetings. - Onboard new team members. - Conduct performance reviews. Requirements - You are an experienced Engineering Team Lead with 10+ years of software development experience, including at least 2 years as a Team Lead or Engineering Manager managing a team of 3–5 developers. - You’re a hands-on leader who can write code, make sound technical decisions, and design systems thoughtfully. - You have strong people management skills — hiring, coaching, giving feedback, and resolving conflicts. - You have at least 3 years of experience as a Fullstack Developer. - You have at least 5 years of experience in product companies working with our stack: TypeScript, Node.js, MongoDB, Kafka, Redis. - Experience working in fast-growing companies or startups will be a plus. - Your English is at B2+ level: you don’t struggle to find words and can confidently discuss any technical topics. Why work with us - A strong, collaborative product team that owns what it builds - Clear product vision and access to real customer feedback from global nonprofit leaders - Flat structure: no politics, just great work with great people - Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next - Long-term focus: we offer equity options and value sustained, meaningful contribution Benefits - Private medical insurance for the employee and their family - 23 paid vacation days per year - 11 paid public holidays per year - 5 company-paid sick leave days - English learning courses. - Relevant professional education - Gym or swimming pool - Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace - Co-working - Remote working **Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.