Vice President, AI Strategy (Boca Raton)

Vice President, AI Strategy Location: New York, NY or Boca Raton, FL (hybrid) Who Are We At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid‑sized nonprofit organizations with pension and retirement‑related services, along with leading customer support. Today, we provide these services also to for‑profit companies, as well as to governmental entities, tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their retirement savings goals. We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future. Role Summary We are looking for a Vice President of AI Strategy to join us to lead AI initiatives, driving value for the business by leveraging data and artificial intelligence to enhance decision‑making, performance, and operational efficiency. This leader will own the development and execution of the AI strategy, collaborating with the data team to ensure that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms. This is a strategic role, focused on working with business leaders and technology teams to define the company’s AI strategy and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands‑on execution. You will ensure that AI initiatives align with the broader organizational goals and deliver measurable value. Responsibilities Define AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s AI strategy in collaboration with the business. Build partnerships with executive leadership and senior team members to execute on the vision for managing AI projects and applications, to exploit data and AI capabilities to maximize the value. Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments. Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision‑making. AI strategy implementation and scaling, oversee the execution and scaling of the pre‑defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas. Manage the development, refinement, and deployment of cutting‑edge AI models and pipelines across various applications. Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders to integrate AI governance principles into project development and deployment. Data‑driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real‑time simulations, anomaly detection, and data‑driven optimization. Cross‑functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows. Innovation and continuous improvement: Ensure that AI products remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge. Collaborate on data projects: Partner with business units and data teams to ensure successful execution of critical data projects that will be leveraged by AI. Required Qualifications Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains. Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape. Experience integrating with data platforms that support AI, data engineering, and analytics projects across an organization. Strong knowledge of AI and data technologies including Python. Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing explain‑ability to complex models. Excellent communication and collaboration skills, with the ability to work cross‑functionally and manage relationships with multiple business and technical stakeholders. The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non‑technical stakeholders. Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast‑paced environment. Preferred Qualifications 5 years of leading AI projects at an enterprise level Proficiency in data analysis tools and programming languages like SQL, Python, R. Understanding of data modeling and data architecture principles Expertise in defining and implementing data strategy, governance, and data management best practices. Proficient with data governance best practices. What we offer you Competitive base salary Annual Bonus Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment 401(k) Match: 100% Employer Match on up to 6% employee contributions (Salary and Incentive Comp) Parental Leave: 8 weeks fully paid Paid time off: 28 days plus two floating personal holidays The salary range below describes the minimum to maximum base salary range for this role. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and/or company performance. Base Salary Range: $176,700 - $265,100 Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law. J-18808-Ljbffr

Partner Technical Enablement (San Francisco)

Meter is selling a fundamentally different way to buy and manage enterprise networking. The difference is in our product, process, and pricing model, but we still need every single partner to understand that. The sales engineers in the channel we need to win over have been selling networking products the same way for decades. They're certified on incumbent platforms, comfortable with what they know, and skeptical of anything that sounds like a pitch. Before a partner's technical team will sell Meter, they need to validate it themselves and feel confident standing behind it. This role exists to convert every partner technical team into Meter evangelists. You'll build the technical training, demo environments, lab infrastructure, and field-ready content that turns skeptical engineers into Meter advocates. What success looks like In the first six months, you’ll: Develop and launch a technical training track and in-person partner lab that goes deeper than the introductory course on Meter Learn, so partner SEs can scope and validate network designs without needing a Meter SE on every call. Build a repeatable demo environment for Meter Circuit, our 13-city event series, with vertical-specific scripts that don't need to be rebuilt at every stop. Upgrade lab infrastructure to match real multi-site, multi-stack deployments—so when a partner engineer walks through a demo, it looks like their environment, not a textbook. Ship the next six episodes of Meter Pulse on a consistent schedule, with you owning scripting, pre-production, and technical validation end to end. Audit and update the technical collateral on the partner portal so everything reflects current products, architecture, and messaging. What your day-to-day will look like This role doesn’t have a typical week. Some weeks are content production-heavy: filming, writing lab guides, building training modules in Meter Learn, and configuring demo networks. Other weeks are field-heavy: delivering a live training for a partner’s SE team, presenting at a conference, or staffing the technical station at a partner expo. Most weeks are a mix of both. Here’s an example of the first three days of a week: Monday: You’ll be building a vertical-specific demo environment for an upcoming Meter event Tuesday: You’ll be scripting an episode for Meter Pulse, our short-form content series, while configuring hardware in the lab Wednesday: You are presenting at a partner event answering technical questions from engineers who’ve been in the industry for 20 years. Who you are You've spent a significant time in enterprise networking—designing, deploying, troubleshooting. You know the difference between a clean lab setup and a production network at a 50-location company, and you can build content that respects that difference. You've been in a partner-facing or field-facing technical role (SE, TME, technical trainer) where you had to earn credibility with engineers who knew the incumbents cold and weren't impressed by marketing language. You've built content those engineers actually used: lab guides, demo environments, training courses, technical videos that helped someone do their job better. Specifically: Expertise in enterprise networking: LAN/WAN, switching, routing, wireless, and security—you can go deep in a technical Q&A and hold your ground Experience in a partner-facing technical role: you know how to talk to a CDW SE differently than a 10-person TA, and you adjust without being asked You've built high-fidelity technical content from scratch (lab guides, LMS modules, recorded demos) at pace, not just occasionally You understand the channel landscape: TSDs, TAs, VARs, resellers, and how each one thinks about taking on a new vendor You're as comfortable presenting to 50 people at a conference as you are working one‑on‑one with an engineer deciding if Meter is worth their trust Instructional design experience or prior work building multi‑stage technical training tracks is a plus Why Meter? The internet runs the world. Every purchase you make, video call you join, it's all packets flowing through networks. But those networks haven’t changed for decades. They’re brittle, complex, and surprisingly hard to set up in an enterprise space. We started Meter to build better networks. We had to build everything from the ground‑up: designing and building our own enterprise hardware, intuitive software, and streamlined operations to deliver great outcomes for our customers. Today, we build and deploy these networks at scale. Ambitious companies and enduring institutions like Bridgewater, Lyft, Reddit, rely on Meter to keep their thousands of employees and locations online and productive. Our bet with Meter is simple: we will all use the internet more than we do today. We believe we have the definitive networking stack in place to enable business to do so as seamlessly and reliably as any modern utility. Compensation The estimated base salary for this role is between $200,000 - $250,000. Additionally, this role is eligible to participate in Meter's equity plan. By applying to this job you acknowledge that you've read and understood Meter's Job Applicant Privacy Notice. J-18808-Ljbffr

Engineering Manager [32614] (Seattle)

3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. The company is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platforms—slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60% lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains. Why It Matters Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back—making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. Who We Are World renowned researchers in compression, information theory, and data systems Elite engineers from Google, Pure Storage, Cohesity and top cloud teams Enterprise sellers who turn ROI into seven‑figure wins. Powered by World-Class Investors & Customers $65M raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders Our Mission: We’re building the default data substrate for AI, and a generational company built to endure. A Deep Tech Approach to AI We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter. Product: Actively processing 100 PBs today and targeting Exabyte scale by Q4 2025. WHAT YOU’LL DO Lead and build a team of 8–10 engineers shipping core platform services across the AI data stack Stay 40% hands-on in high-leverage areas like Spark shuffles, Iceberg metadata stores, and vectorized engines Translate research into production —owning the path from prototype to hardened, planet-scale systems Coach architecture & velocity —drive weekly iteration while enforcing engineering excellence Instill a culture of rigor —from RFCs and code reviews to latency regression tracking and post-mortems that teach Own quarterly outcomes —measuring success through performance (P90 latency), reliability (4 nines), and hiring bar (zero-regret additions) Design for scale & autonomy —build workflows where two-pizza teams can ship daily with minimal friction Attract and grow top talent —recruit 10x builders and create an environment of psychological safety and learning WHAT WE’RE LOOKING FOR 7 years in backend or infra engineering roles, with 2 years as a tech lead or manager Proven success building and leading high-caliber teams in performance-critical environments (e.g. databases, ML infra, lakehouse systems) Deep experience with distributed compute frameworks (Spark, Trino, Presto) and columnar storage formats (Parquet, ORC) Familiarity with Iceberg or Delta Lake internals Strong system design instincts and ability to guide teams through trade-offs Track record of balancing hands-on execution with leadership, mentorship, and delivery Passion for building foundational technology that changes how data is used at scale WHY JOIN US Core Differentiation: We’re focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Elite peers —you’ll collaborate with engineers from Meta, Google, Databricks, Okta, and early FAANG builders Clear metrics, real impact —our platform cuts storage costs 60%, compute 60%, and boosts processing speeds 3x Unusually high leverage —no bloat, minimal hierarchy, and high ownership from day one Long-term alignment —backed by top-tier investors and built for technical founders and builders COMPENSATION & BENEFITS Competitive salary and equity Premium healthcare, vision, and dental Flexible hybrid work setup (Mountain View HQ) Stipends for learning, publishing, or open-source engagement The company is an equal opportunity employer. We’re committed to building a diverse, inclusive team and encourage candidates from all backgrounds to apply. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Management Industries Software Development Referrals increase your chances of interviewing at Stealth Startup (AI) by 2x Seattle, WA Job postings with salary ranges vary by location and date; examples shown above are representative. Seattle, WA $190,000.00-$260,000.00 22 hours ago Seattle, WA $195,000.00-$225,000.00 4 days ago Seattle, WA $200,000.00-$280,000.00 1 week ago Redmond, WA $170,000.00-$240,000.00 1 week ago Bothell, WA $194,852.00-$255,112.00 17 hours ago Seattle, WA $250,000.00-$315,000.00 5 days ago Greater Seattle Area $115,000.00-$130,000.00 1 week ago Redmond, WA $170,000.00-$240,000.00 2 weeks ago Bellevue, WA $200,000.00-$220,000.00 3 months ago Bothell, WA $150,000.00-$190,000.00 19 hours ago Seattle, WA $140,000.00-$200,000.00 5 days ago Engineering Manager, Product and Business Seattle, WA $236,000.00-$354,000.00 35 minutes ago Director, Software Development and Engineering Seattle, WA $182,450.00-$255,429.30 5 days ago Director of Engineering - (Electrical / Hardware) Bellevue, WA $222,640.00-$333,960.00 2 weeks ago Bellevue, WA $210,400.00-$280,900.00 3 days ago Bellevue, WA $200,000.00-$250,000.00 2 weeks ago Seattle, WA $250,000.00-$295,000.00 1 week ago Redmond, WA $170,000.00-$240,000.00 2 days ago Manager/Sr. Manager - Software Engineering Bellevue, WA $157,600.00-$384,100.00 4 hours ago Director, Software Development and Engineering Seattle, WA $227,120.00-$317,967.31 1 week ago Director of Engineering AI/ML - Hybrid - Seattle Seattle, WA $166,400.00-$287,700.00 4 days ago Director of Equipment Engineering Research & Implementation Seattle, WA $120,000.00-$180,000.00 1 month ago Seattle, WA $300,000.00-$375,000.00 2 days ago Manager/Sr. Manager - Software Engineering Seattle, WA $157,600.00-$384,100.00 1 day ago Senior Software Engineering Manager - Global E-commerce Seattle, WA $244,530.00-$585,200.00 1 week ago Bellevue, WA $222,640.00-$333,960.00 1 day ago Seattle, WA $236,000.00-$354,000.00 1 week ago SeaTac, WA $146,400.00-$219,600.00 1 week ago Engineering Manager - Inventory Positioning - Hybrid - Seattle We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. J-18808-Ljbffr

Software Engineer, Cumberland/FICCO Tools Engineering (Greenwich)

Software Engineer, Cumberland/FICCO Tools Engineering Join to apply for the Software Engineer, Cumberland/FICCO Tools Engineering role at DRW About DRW DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital, and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters—it’s how we do it. DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus. About the Team DRW C/FICCO Tools Engineering team intimately collaborates with traders to turn alpha signals, risk management, market visualizations, and other trading‑critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high‑impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade‑offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In This Role You Will Work with best‑in‑class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (Python, Java, C++, Typescript) Provide on‑call support as needed Qualifications A minimum of 2 years’ experience using Python, Java, C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast‑moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills – you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux‑based, concurrent, high‑throughput, low‑latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience Compensation & Benefits The annual base salary range for this position is $175k to $225k, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long‑term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. Legal Notices For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Finance, Information Technology, and Engineering Industries: Capital Markets, IT Services and IT Consulting, and Financial Services Referrals increase your chances of interviewing at DRW by 2x. Get notified about new Software Engineer jobs in Greenwich, CT. J-18808-Ljbffr

Chief Operating Officer (Windsor)

Overview RCN Capital is a nationwide wholesale lender focused on helping real estate investors and independent mortgage brokers finance non-owner-occupied residential investment properties. We support a range of strategies including ground-up construction, fix-and-flip projects, and long-term rental financing through a streamlined process, dedicated teams, and a commitment to exceptional service. The Chief Operating Officer (COO) is responsible for driving operational excellence, scalability, and innovation across RCN Capital’s nationwide private lending platform. As a leading direct lender specializing in real estate investment financing, specializing in fix-and-flip, bridge, construction, and long-term rental loans, the COO ensures that all aspects of loan operations, including technology and client experience, align to support continued growth and deliver industry-leading service to brokers, correspondent lenders, and real estate investors. As a member of the executive team, this role serves as a cornerstone member of the leadership team, partnering closely with department leaders and subject matter experts, to translate organizational strategy into optimized performance across loan operations, legal and closing functions, and core systems, while advancing and strengthening RCN’s position as a trusted, high-performing lending partner. Responsibilities Operational Strategy and Executive Partnership: As a member of the Executive Leadership Team, define, set and execute the operational vision across business functions within lending operations. Design and implement scalable operating models to support loan volume, strong processes, and evolving business needs Establish performance standards, and accountability structures within operations using KPI-driven insights aligned with business goals Partner with executive leadership to provide strategic insights and drive cross-functional operational improvements Leadership and Culture: Lead and develop high-performing operations teams, fostering accountability, collaboration, open communication, and continuous improvement Align departmental leadership within operations with RCN Capital’s strategic priorities and growth objectives, focusing on scalability, innovation, and long-term growth Promote a culture rooted in partnership, communication, and excellence Process Improvement and Transformation: Lead operational initiatives to improve efficiency, scalability, and consistency Identify and prioritize opportunities to streamline workflows, reduce manual processes, clarify procedures, and improve quality throughout operations Champion the implementation and adoption of new processes throughout operations, including gathering and interpreting feedback on results and impact for further improvement Facilitate operational alignment through structured change management and strategic partnership Ensure initiatives deliver measurable outcomes through defined performance metrics and continuous optimization Performance Management and Analytics: Define, monitor, and continuously refine key performance metrics aligned with organizational goals within operations Leverage data across operations to inform strategic decisions Implement and optimize tools and reporting processes to measure, evaluate, and track KPIs, ensuring operational performance and growth Promote transparency through consistent communication of performance insights and outcomes Qualifications Deep understanding of lending operations, process and procedure, risk, and regulatory environment Ability to think strategically and execute effectively A collaborative, transparent leadership style that builds trust and alignment 10 years of leadership experience in mortgage, banking or financial services Strong background in operations, systems, and process improvement Proven success leading operational transformation or large-scale change Demonstrable experience in executing cross-functional strategies in a banking, lending or fintech environment Education Bachelor’s degree in Business, Finance, Real Estate, or related field Master’s degree in Business, Finance, Real Estate, or related field preferred Work Schedule Full time Monday-Friday, 9:00AM to 6:00PM Hybrid work model with first 90 days onsite and 2 days/week in office after in either: South Windsor, CT Charlotte, NC Why RCN Capital Growth‑oriented environment with opportunities to expand your legal skill set Ongoing training and development Casual dress policy Free food and beverage program And many additional perks Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. J-18808-Ljbffr

Chief Financial Officer | PE-Backed EdTech/SaaS (New York)

Springwood Spotlight Mandate | U.S. PE-Backed Technology Location: New York (open to remote, but West Coast time zones not feasible) Ownership: Small-Mid Market Private Equity (~$150m AUM, 10 successful Tech exits) Structure: Buyout transaction (previously growth equity) Revenue: $15M ARR – Targeting $45-50M ARR (Organic and M&A) EBITDA: $1.7M currently – Scaling to $10M (through operational leverage) Process: Confidential pre-deal search | Shortlisting 3-4 weeks | Exclusive to Springwood Executive Company & Role Overview A new client to Springwood Executive is poised to acquire a new platform through buyout. An interesting business at the intersection of learning tech and enterprise software, the business delivers a B2B SaaS product to a clearly defined market which ensures a strong recurring revenue base. The CFO will be a critical hire pre-deal, designed to immediately be involved in shaping the investment thesis and future growth. Three Key Responsibilities Partner with CEO and investors to define and execute the 5-year value creation plan. Manage M&A lifecycle including deal diligence, integration, and post-acquisition reporting. Build scalable finance infrastructure and systems to drive visibility across ARR, CAC/LTV and unit economics. Three Key Experience Requirements Proven CFO within PE-Backed SaaS, track record scaling ARR from ~$15m ARR to ~$60m ARR (organic and M&A). Prior experience of PE-backed environments especially exposure to board and investor reporting. Low-ego leadership style; needs to be both strategic and hands-on. This is a rare opportunity to join a proven EdTech SaaS platform at a critical inflection point of growth. The investor has an exceptional track record in successful exits, and the incoming CFO will play a pivotal role shaping strategy, growth and managing a high-value exit. To express interest, please apply via this advert. More information on Springwood Executive can be found at www.springwoodexecutive.com J-18808-Ljbffr