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vice president of finance

Translucent AI

<div>
 
 Role Details
 
 
 
 <ul>
 <li>
 Full-Time
 </li>
 <li>
 Office Location - New York City (hybrid)
 
 
 </li>
 </ul>
 
 Why Translucent
 
 
 
 Healthcare providers drive $2.5 trillion in medical expenditures annually &mdash; and operate on razor-thin 2&ndash;5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions.
 
 
 Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance&mdash; giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows.
 
 
 Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world, this is the place.
 
 
 
 Role Overview
 
 
 
 We're looking for an AI Engineer to help build the agentic platform at the core of Translucent: the AI financial platform transforming how healthcare organizations make business decisions.
 
 
 You'll work hands-on across R&amp;D and platform engineering &mdash; improving the underlying agent capabilities every team builds on, rather than configuring agents for a single customer. You'll standardize the tool surfaces new capabilities plug into, make the agent platform ready to integrate across products, and own the evals, context, and harness engineering that make it reliable enough for healthcare finance. You'll match the right agentic architecture to each use case, turn core capabilities into an ecosystem others build on, and own quality end-to-end.
 
 
 If you are energized by fast-paced environments, love sweating the details of production AI systems, partnering closely with product and design, and seeing your work in customers' hands quickly, you'll feel at home here.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Standardize tool and skill surfaces &mdash; define the contracts (MCP-style tool, connector, and skill interfaces) that let us add new capabilities continuously without destabilizing the platform as it grows
 </li>
 <li>
 Make the agent platform integration-ready &mdash; build the connective tissue so agents, tools, context, and data compose cleanly across products, and match the right agentic architecture to each use case
 </li>
 <li>
 Own evals and benchmarks &mdash; build production-grade eval harnesses, replay, and benchmarks for agentic AI, and gate releases on them; in healthcare finance, accuracy is non-negotiable
 </li>
 <li>
 Lead context and harness engineering &mdash; establish best practices for grounding agents in each customer's business rules and data, and for the control loops that keep outputs reliable
 </li>
 <li>
 Fine-tune and evaluate models &mdash; fine-tune in-house and open-source models, benchmark them against frontier baselines, and make the build-vs-buy calls on model, framework, and infra
 </li>
 <li>
 Turn capabilities into an ecosystem &mdash; build reusable core capabilities that translate across features and products, and ship them end-to-end with product and design
 
 
 </li>
 </ul>
 
 What You Have
 
 
 
 <ul>
 <li>
 3+ years of software engineering experience, with meaningful production work in Python
 </li>
 <li>
 Direct experience shipping LLM-powered or agentic systems in production &mdash; not just prototypes. You know where models fail and how to make them reliable
 </li>
 <li>
 Hands-on experience with at least one modern agent framework (LangGraph, Google ADK, LlamaIndex, Claude Agent SDK, or equivalent), and a clear point of view on what to use vs. build
 </li>
 <li>
 Production evals and benchmarking &mdash; you've built eval harnesses and benchmarks that gate real releases, not one-off spot checks
 </li>
 <li>
 Context engineering &mdash; grounding agents through retrieval, context layers, and knowledge transfer so outputs match a specific org or user
 </li>
 <li>
 Comfort with the data and retrieval layer &mdash; SQL, BigQuery or a comparable warehouse, embeddings, and vector search
 </li>
 <li>
 A bias toward shipping &mdash; you take an ambiguous problem to a working V1 fast, then iterate
 
 
 </li>
 </ul>
 
 Plus deep, demonstrable expertise in at least one (ideally two) of the following:
 
 
 
 <ul>
 <li>
 Tool-surface and connector platform engineering &mdash; standardized tool/skill contracts (e.g., MCP) and connector ecosystems that scale without breaking
 </li>
 <li>
 Harness and loop engineering &mdash; agent control loops, orchestration, and inference harnesses; right-sizing agent architecture per use case and keeping it reliable at scale
 </li>
 <li>
 Open-source and in-house model fine-tuning &mdash; fine-tuning open models and benchmarking them against frontier baselines
 </li>
 <li>
 Production context-layer engineering &mdash; systems that capture business rules and preferences and feed them to agents reliably
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with healthcare finance, accounting, or other structured financial data &mdash; or genuine curiosity about it
 </li>
 <li>
 Applied ML or model-evaluation research background
 </li>
 <li>
 Open-source contributions to agent or LLM tooling
 </li>
 <li>
 Experience designing tool-use APIs or developer-facing AI products
 </li>
 <li>
 Familiarity with our stack: Vertex AI (Gemini, Claude on Vertex), GenKit, MCP, BigQuery
 
 
 </li>
 </ul>
 
 Experience Level
 
 
 
 We're looking for engineers who own meaningful surface area and drive work forward independently. You'll bring sharp judgment on architecture and build-vs-buy trade-offs under ambiguity, a bias toward shipping a working V1 fast, and the craft to make agentic systems reliable enough for healthcare finance &mdash; not just demos.
 
 
 https://www.translucent.co/
 
 
 
 Base Salary
 
 : $175,000-$275,000 USD + equity
</div>

AI Engineer

American Express

<div>Business Unit / Role Specific 
At American Express, Finance Data Science &amp; Analytics applies advanced modeling, machine learning, artificial intelligence, and statistical techniques to help the organization make scientifically grounded decisions around growth, risk, profitability, and enterprise strategy. Finance Decision Scientists work at the intersection of Finance, Business, Risk, and Technology to develop predictive models, analytical frameworks, and data-driven insights that inform senior management decisions and improve how we forecast, optimize, and manage the business. 
This internship is designed for candidates who want to build and apply modeling capabilities to real-world business problems. Interns will work with large-scale datasets, develop and test predictive models, translate business questions into technical modeling approaches, and communicate insights in a clear, structured way. The role requires strong quantitative problem-solving, hands-on programming, and the ability to connect model outputs to business strategy and decision-making. 
Team Responsibilities Include:
<ul><li><div>Develop predictive models and analytical frameworks that forecast key top-line and financial metrics, supporting both short-term execution and long-term strategic planning.
</div></li><li><div>Apply machine learning, statistical modeling, and advanced analytics to identify drivers of business performance, risk, customer behavior, and enterprise value.
</div></li><li><div>Build, validate, and interpret models that inform decisions related to growth, profitability, credit performance, fraud, recessionary preparedness, and balance sheet management.
</div></li><li><div>Translate complex business problems into structured analytical questions, modeling approaches, and measurable outcomes.
</div></li><li><div>Partner with Finance, Business, Risk, and Technology teams to embed model-driven insights into strategic decision-making.
</div></li><li><div>Communicate modeling methodology, assumptions, results, and business implications through clear documentation and executive-ready presentations.</div></li></ul></div>
 <div>Minimum Qualifications
<ul><li><div>Currently enrolled in a full-time graduate degree program in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Quantitative Finance, Artificial Intelligence, Physics, or a related quantitative field.
</div></li><li><div>Expected graduation date between December 2027 and June 2028.
</div></li><li><div>Coursework, research, internship, or project experience involving predictive modeling, machine learning, statistical analysis, optimization, or applied data science.
</div></li><li><div>Demonstrated ability to use programming and quantitative methods to solve ambiguous, real-world problems. 
</div></li></ul><div></div>Preferred Qualifications
<ul><li><div>Predictive modeling, machine learning, and statistical analysis experience.
</div></li><li><div>Python or R programming for data analysis, modeling, automation, and validation.
</div></li><li><div>SQL proficiency and experience working with large datasets.
</div></li><li><div>Understanding of feature engineering, model training, validation, performance measurement, and interpretation.
</div></li><li><div>Strong quantitative problem-solving skills and attention to detail.
</div></li><li><div>Ability to explain modeling approaches and business implications to technical and non-technical audiences.
</div></li><li><div>Understanding of LLM-based AI systems and the ability to effectively leverage them for optimized workflow
</div></li><li><div>Power BI or other visualization experience helpful for communicating insights. 
</div></li></ul><div></div><div>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</div></div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counselling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
<div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. 
</div><div></div> 
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. 
</div><div></div> 
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster</div></div>

Campus Graduate I Summer Internship Program - 2027 Data Science, Finance - New York, NY

Snowflake

<div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are a visionary and innovative industry expert team with a track record of architecting, building, and taking solutions to market applicable to various sub-verticals across financial services, spanning retail and commercial banking, lending and payments.
There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
Are you passionate about taking new ideas and innovation to market? Have you successfully applied technology to solve business problems in core banking? If so, we have a strategic opportunity to use your expertise across Data, Cloud, and AI to drive transformational changes across the financial services industry in a highly visible role collaborating with internal and external leadership.
Snowflake is seeking a seasoned Financial Services Industry Architect with deep, hands-on experience designing and delivering transformation initiatives powered by data, analytics, and AI. The ideal candidate has worked directly with banks, financial services organizations to modernize core systems, unify transactional and risk data, and translate business priorities into scalable technical architectures and measurable business outcomes.
You will act as a visionary and innovative industry expert with the opportunity to apply your successful track record of architecting, building, and taking solutions to market applicable to various sub-verticals across the financial services ecosystem and critical workloads in our customer footprint.
IN THIS ROLE YOU WILL GET TO:<ul><li>
Partner with customers on strategic opportunities: You will drive customer engagement in strategic deals where your industry expertise can help drive Snowflake adoption. You'll build trusted relationships with executives, chief data officers, chief risk officers, and enterprise data architects at banks and finance organizations, acting as a trusted advisor who blends business and technical context to advance opportunities.</li><li>
Innovate and design solutions: Working with the Industry GTM team, you'll translate core banking use cases, challenges, and opportunities into data-driven and AI-powered solutions and architecture. This includes creating end-to-end architectures and future-state blueprints, and demo showcases that embed AI/ML and agentic flows into solutions such as fraud detection, credit risk modeling, regulatory reporting, and customer 360.</li><li>
Drive repeatability and scale: You'll lead strategic initiatives by building repeatable enterprise architectures and solution assets for the banking industry that can be leveraged for global adoption. Your deliverables will include persona use case journeys and system/application architecture, demo showcases that integrate Snowflake into a customer's broader financial services solutions portfolio and ecosystem. You'll also scale your expertise through field enablement and by creating workshops and playbooks.</li><li>
Influence the product roadmap: Act as a conduit to the product teams, providing structured feedback based on banking industry needs and customer requirements to help shape Snowflake's product roadmap.</li><li>
Be a thought leader: Drive technical thought leadership for the financial services industry through blogs, talks, and field enablement. You will also be a key contributor to industry marketing activities including webinars and conferences such as Money20/20, Sibos, InsureTech Connect, and LIMRA.</li></ul>
ON DAY ONE WE WILL EXPECT YOU TO HAVE:<ul><li>
10+ years of architecture experience building, consulting to, and/or implementing technology for core banking and/or financial services organizations</li><li>
Expert in financial services data topics and well-versed in the overall challenges and opportunities impacting the industry; ability to map data requirements and processes for the major functional areas of core banking (Retail &amp; Commercial Lending, Payments, Treasury, Risk &amp; Compliance, Finance)</li><li>
Ability to consultatively engage with customers to understand pain points, challenges, and come up with right-fit solution architecture using the latest data and AI technologies</li><li>
Broad range of experience with technical and design direction including large-scale database and/or data warehouse technology, ETL, analytics, and public cloud technologies</li><li>
Understanding of Data Science &amp; Machine Learning concepts and applications in financial services &mdash; including credit scoring, fraud detection, and AML/transaction monitoring</li><li>
Familiarity with key sources of enterprise financial services data and technologies including core banking platforms (e.g., Temenos, FIS, Fiserv, Finacle), risk and compliance systems, actuarial tools (e.g., ResQ, Remetrica), payment networks, CRMs, and third-party data providers</li><li>
Understanding of financial services regulatory and compliance frameworks (Basel III/IV, DORA, IFRS 9/17, Solvency II, BCBS 239, AML/KYC, NAIC, state DOI reporting) and the data demands they create</li><li>
Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos</li><li>
Exceptional communication skills, with the ability to explain complex technical concepts clearly to architects, engineering leaders, risk officers, operations leaders, business executives, and regulatory stakeholders</li><li>
Experience working with senior executives and an ability to quickly establish credibility with senior leadership</li><li>
Bachelor's Degree required; Master's Degree in computer science, engineering, mathematics, finance, actuarial science, or related fields, or equivalent experience preferred</li><li>
The ability to travel to customer sites, industry events, and other related events as required</li><li>
Strong knowledge of SQL, Python with hands-on experience is required; experience in Java, Scala, or other languages is a plus</li><li>
3+ years of Cloud Provider (AWS, Azure, or GCP) customer-facing architecture development experience</li></ul>
WHAT ARE THE TYPICAL GOALS FOR THE ROLE?
Proactive customer guidance:<ul><li>
Technical Industry Overview and Architecture:How is the banking industry adopting Snowflake, and which industry value drivers does Snowflake attach to?</li><li>
Technical Use Case Overviews:Extend use case presentations with how financial services use cases might be addressed &mdash; including technical architectures and key decision points for risk, compliance, banking, and lending workloads.</li><li>
Ecosystem partner engagement:Does the customer need interface or vendor guidance with financial services ecosystem partners (e.g., FIS, Fiserv, Temenos, Verisk, LexisNexis Risk Solutions, MSCI)? Is there an ecosystem participant without a Data Cloud presence we should introduce to the wider Snowflake team? We can facilitate these conversations and advocate for the customer and the vendor.</li><li>
Solution architecture and review:Snowflake has a diverse ecosystem of financial services industry participants with domain-specific solutions to a wide range of use cases; domain-specific architecture reviews play a key role.</li><li>
Strategic stakeholder alignment:C-level and direct reports may require strategic, longer-running relationships that maintain consistency and alignment across business units and use cases &mdash; particularly in large global banks. The Industry Architect role can help maintain global consistency of vision and assist individual geographies.</li><li>
Strong alignment with the Financial Services Industry Team</li><li>
Technical industry trend PoV:Data Mesh, Data Vault, GenAI, Data Lakes vs. Warehouses vs. Lakehouses &mdash; view these technical trends through a financial services lens, including case studies on real-time fraud detection, open banking data sharing, and regulatory data lineage.</li><li>
Snowdays: Bring in the wider team to complement the customer's point of view with a broader industry perspective, including bespoke solution/lab setups for banking</li><li>
RFP support: Some RFPs have a financial services industry backdrop and may request information on the Financial Services Data Cloud, or otherwise require a perspective on specific regulatory, risk, or operational topics.</li></ul> 
Internal Engagement
We are always looking for ways to scale our offering. We welcome opportunities to gather a group of SEs to drive and foster better industry alignment and knowledge sharing. Creating scalable content and driving adoption of key use cases is the primary goal for the role, so finding ways to spread the message both internally and externally is critical.
Partner Engagement
Our team is always looking for new and innovative ways to solve key use cases. This includes engaging with key financial services ecosystem partners to develop industry best practices, architectures, and demos.
Industry Events
Our team of specialists is most likely already involved with key industry events such as Money20/20, Sibos, InsureTech Connect, and LIMRA. If there is something that makes sense to bring us into, please let us know how we can help.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $249,600 - $327,600. The estimated base salary for this role is $187,200 - $245,700.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div>

Project Manager

SERVAL

<div><h1 class="jobSectionHeader">Who We Are</h1>
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end &mdash; replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations. 
 
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don&rsquo;t just respond to requests &mdash; they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering. 
 
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we&rsquo;re building the universal AI operations layer &mdash; a system of agents that sits across business functions and runs the workflows that keep modern companies moving. 
 
We&rsquo;re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
<h1 class="jobSectionHeader">About the team</h1>
The Agent Deployment team is a customer-facing technical team, central to how Serval turns product capability into real business outcomes. The org is a family of roles: Deployment Strategists are the primary technical relationship and AI advisor for each customer, partnering with Deployed Software Engineers to build enterprise-grade features and products. Deployment Success Managers own each customer's long-term success, building the systems and motions that scale adoption, expansion, and renewal well past go-live.<h1 class="jobSectionHeader"> 
Role Overview</h1>
As a Deployment Strategist on Serval's Agent Deployment team, you&rsquo;ll be the primary technical relationship for Serval&rsquo;s customers: guiding their deployments, advising their AI strategy, and owning their outcomes. You&rsquo;ll work deeply within Serval&rsquo;s existing product surface area: building novel workflows, configuring integrations, and shipping bug fixes and product changes yourself.
This role is for someone who thrives on execution velocity, moving quickly across multiple engagements at once. You&rsquo;re at home in ambiguity and bring a strong blend of technical depth, product sense, and customer obsession. And because you sit closest to how customers actually use Serval, you'll directly shape our product roadmap: the workflows and features you build in the field make their way into the core product.<h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Own customer engagements from pilot through production launch: design and deliver deployments that fit each customer's workflows and scale adoption of Serval.</li><li>
Build AI agents: design and build AI agents on Serval's platform that drive real value for customers.</li><li>
Advise AI strategy: embed with customers to guide and shape how they adopt and scale AI.</li><li>
Lead migrations: design and execute migration plans that minimize disruption and ensure seamless adoption of Serval's platform.</li><li>
Partner cross-functionally: work with Engineering, Sales, and Marketing to turn field learnings into repeatable processes and a sharper go-to-market.</li></ul><h1 class="jobSectionHeader">
What You&rsquo;ll Need</h1><ul><li>
Degree in Computer Science or a related field, or equivalent hands-on experience.</li><li>
5+ years in a relevant role (product, engineering, consulting, founder).</li><li>
Strong communication and relationship management skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders.</li><li>
Hands-on technical ability: reading and troubleshooting production code in customer-facing environments, analyzing code paths, database state, and API requests/responses with infra and browser dev tools.</li><li>
Working knowledge of APIs and REST, IAM, and SQL for data analysis.<div> 
</div></li></ul><h1 class="jobSectionHeader">
Nice to Have</h1><ul><li>
Experience in an early-stage startup environment.</li><li>
Experience writing production code.</li><li>
Background working with enterprise customers or complex technical sales cycles.</li><li>
Familiarity with IT, security, service management, or workflow automation.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Impact: Be a key player in shaping the success of our product and company.</li><li>
Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.</li><li>
Culture: Join a culture that values innovation, ownership, accountability, and fun.</li></ul>
Compensation Range: $150K - $280K</div>

Deployment Strategist

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Description
Our Global Technology (GT) group is a world-class technology team employing an innovative, disciplined and business focused approach to develop a wide variety of high-quality products and solutions. Across 20+ technology centers worldwide, our team of technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in payments, cybersecurity, machine learning, engineering and cloud. Our $19.8B annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world. 
As a Technology Strategy Executive within the Global Technology Strategy, Innovation and Partnerships team, you will be instrumental in shaping JPMC's firmwide technology strategy. You will cultivate and maintain high-level collaborative relationships with technology vendors and the emerging technology ecosystem, including the venture capital community, to influence partner roadmaps and align them with JPMC's strategic objectives. Your role will be essential in promoting innovation across the firm, ensuring JPMC leverages the business benefits of adopting advanced technology capabilities. You will collaborate closely with senior business and technology stakeholders across JPMC to ensure the execution of a cohesive firmwide strategy, with new innovations swiftly assessed, piloted, and scaled as necessary. Additionally, you will enhance internal awareness of Data and AI opportunities and support client-facing business development activities, working alongside the Strategic Investments team on private company investments that strategically align with JPMC's technology initiatives. 
Job responsibilities 
<ul><li>Help drive the firmwide technology strategy across JPMC</li><li>
Build best-in-class collaborative relationships with technology vendors and the emerging technology ecosystem (including the venture capital community) in order to influence partner roadmaps and JPMC strategy</li><li>
Drive innovation across JPMC and ensure that JPMC maximizes the business benefits of adoption of market leading technology capabilities</li><li>
Influence senior business and technology stakeholders across JPMC ensuring execution on a coordinated firmwide strategy, with new innovations rapidly evaluated, piloted and then scaled firmwide where appropriate</li><li>
Build internal awareness of Data and AI opportunities across JPMC</li><li>
Support JPMC client facing business development activities, and partner with Strategic Investments team on private company investments which strategically align to JPMC's technology initiatives</li><li>
Extensive knowledge and exposure to the external Cloud and Infrastructure Partner Ecosystem, and domain knowledge of key technology trends</li></ul> 
Required qualifications, capabilities and skills 
<ul><li>Minimum of 6 years relevant experience with a leading technology company in a product related role, a top-tier consulting firm or an internal consulting/corporate strategy team, including at least 1 year of managerial experience leading teams. 3+ years of experience working closely with external technology companies in the Cloud and Infrastructure domain</li><li>
Strong relationship and interpersonal skills and the ability to interact with senior business and IT executives, as well as external executives. Strong passion for technology and staying abreast of industry trends. Track record of driving strategy, partnerships and innovation</li><li>
Customer Obsession: Committed to have a customer first approach. We expect our leader to have a demonstratable history of making a difference for customers and showing a customer first approach.</li><li>
Growth Mindset: Experience and passion for learning (technical and soft skills); implementing practices from others; trying, failing and learning from that; sharing practices and knowledge for others' benefit</li><li>
Problem Solver: Ability to solve complex challenges for customers and have a high ability to solve internal and external barriers understanding internal and external organizational structures, dynamics and tradeoffs.</li><li>
Executive Presence: Experience and expertise facing off to senior executives by aligning &amp; reinforcing the value of the solution to the customer's overall business pain and/or strategic opportunities and decision criteria.</li><li>
Excellent Communicator: Able to distill widely variant feedback into root cause issues and provide actionable feedback to other stakeholders, deep technical product demo, presenting, writing, and verbal communication skills</li><li>
Technical Breadth: Enterprise customer level experience with Artificial Intelligence, Data Platforms &amp; Cyber</li><li>
Technical Depth: Depth in multiple areas of AI and Data. 
</li></ul> 
Preferred qualifications, capabilities and skills 
<ul><li>Financial services background is preferred</li></ul>
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
 
<div>Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. 
</div><div></div> 
<div>The Strategy team manages mission-critical projects ranging from developing growth strategies, to assessing and planning entry into new markets, to implementing organizational restructurings and operational efficiencies, and more. Projects are typically team-based and include close collaboration with senior executives.</div></div>

Executive Director, Tech-Strategy & Partnerships, Data & AI

Progyny

<div>Thank you for considering Progyny!
We are hiring a Manager, Medical Economics &amp; Analytics to join our team in New York City. This role will primarily support the Operations team.
Our team develops data, analytical insights, and tools that support Progyny&rsquo;s internal operations and help drive an exceptional member and provider experience. In this role, you&rsquo;ll partner closely with cross-functional teams, including Provider Network, Claims, Contact Center, and Member Experience, to deliver analyses and solutions that improve operational performance and inform strategic decision-making. You&rsquo;ll also work closely with Data Engineering and IT partners to advance our analytics infrastructure, expand AI-enabled capabilities, and build scalable solutions that enable teams across the organization to make better data-driven decisions.
What You'll Do...<ul><li>
Become a subject matter expert (SME) in Progyny claims, utilization, provider network, operational, and financial data, translating complex datasets into actionable insights that improve business performance.</li><li>
Lead, develop, and mentor a team of analysts responsible for delivering high-quality analyses, reporting, and analytical solutions to key operational stakeholders.</li><li>
Build, maintain, and optimize scalable analyses, data models, dashboards, and reporting using SQL, Excel, and modern analytics and visualization tools.</li><li>
Partner closely with cross-functional operational teams, including Provider Network, Claims, Contact Center, and Member Experience, to identify opportunities, evaluate performance, develop KPIs, and deliver insights that inform operational and strategic decision-making.</li><li>
Partner with Data Engineering and other IT teams to help shape and advance Progyny&rsquo;s analytics infrastructure and data strategy, including data models, pipelines, tooling, governance, and self-service analytics capabilities.</li><li>
Identify opportunities to improve analytical workflows, automate manual processes, and drive cross-functional initiatives that increase operational efficiency and enable scalable, data-driven decision-making.</li></ul>
About You...<ul><li>
Bachelor's degree with an analytical focus in healthcare, economics, finance, statistics, data analytics, or a related field.</li><li>
5&ndash;7 years of relevant experience in healthcare, insurance, consulting, analytics, or a related field, including 1&ndash;3 years of people management experience.</li><li>
Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large and complex datasets (30M+ rows).</li><li>
Experience working with modern data platforms and transformation tools such as AWS, dbt, Databricks, or similar technologies.</li><li>
Proficiency with data visualization and business intelligence tools such as Tableau, Power BI, Looker, or similar platforms, with demonstrated experience developing effective dashboards and data products for business stakeholders.</li><li>
Advanced analytical and problem-solving skills with the ability to translate ambiguous business questions and complex datasets into structured analyses, clear insights, and actionable recommendations.</li><li>
Familiarity with healthcare and insurance terminology, provider networks, healthcare operations, and medical or pharmacy claims data.</li><li>
Demonstrated experience leading, coaching, and developing analysts while establishing priorities, maintaining high standards for analytical quality, and creating an environment of continuous learning.</li><li>
Experience working in modern analytics environments and IDEs (e.g., Visual Studio Code, Cursor, PyCharm, or similar) and using AI-enabled tools to accelerate analysis, development, or workflows.</li><li>
Ability to partner effectively with Data Engineering and technical teams to define data requirements, improve analytical infrastructure, and develop scalable data and reporting solutions.</li><li>
Excellent time and project management skills with the ability to prioritize competing requests, manage multiple initiatives simultaneously, and deliver high-quality work under tight deadlines.</li><li>
Self-motivated and comfortable operating independently, navigating ambiguity, and taking ownership of analytical initiatives from problem definition through implementation.</li><li>
Advanced written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders, influence cross-functional partners, and communicate effectively with senior leadership.</li></ul>
Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future.
About Progyny:
Progyny (Nasdaq: PGNY) is a global leader in women&rsquo;s health and family building solutions, trusted by the nation&rsquo;s leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians.
Our benefits solution empowers patients with concierge support, coaching, education, and digital tools; provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs.
Our mission is to empower healthier, supported journeys through transformative fertility, family building and women&rsquo;s health benefits.
Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit www.progyny.com.
Our perks:
<ul><li>Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents&rsquo; Employee Affiliation Group</li><li>
Menopause and midlife care</li><li>
Health, dental, vision and life insurance options for employees and family</li><li>
Free in-person, virtual and text-based mental health and wellness support
</li><li>Paid time off, including vacation, sick leave, personal days and summer flex time</li><li>
Company equity</li><li>
Bonus program</li><li>
401(k) plan with company match</li></ul><ul><li>
Access to on-demand legal and financial advice</li><li>
Learning and development programs to help you grow professionally and a mentorship program</li><li>
Company social events to include annual volunteer day and donation matching</li><li>
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office</li></ul>
In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $130,000 - $145,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity.
Progyny is proud to be an Equal Opportunity and Affirmative Action employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law.
If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to apply@progyny.com.
#LI-BG1</div>

Manager, Medical Economics & Analytics

Capital One

<div>
 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
 
 
 
 
 Team Description:
 
 
 
 
 The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
 
 
 
 
 In this role, you will:
 
 
 
 
 <ul>
 <li>
 Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
 </li>
 <li>
 Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
 </li>
 <li>
 Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
 </li>
 <li>
 Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.
 </li>
 <li>
 Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
 
 
 </li>
 </ul>
 
 
 The Ideal Candidate:
 
 
 
 
 <ul>
 <li>
 You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
 </li>
 <li>
 Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
 </li>
 <li>
 You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
 </li>
 <li>
 You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
 </li>
 <li>
 You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
 
 
 </li>
 </ul>
 
 
 Basic Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
 </li>
 <li>
 At least 4 years of experience programming with Python, Go, Scala, or Java
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 
 <ul>
 <li>
 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
 </li>
 <li>
 Experience designing, developing, delivering, and supporting AI services
 </li>
 <li>
 Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
 </li>
 <li>
 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
 </li>
 <li>
 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
 
 
 </li>
 </ul>
 
 
 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 
 
 
 
 The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
 
 
 Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
 
 
 McLean, VA: $197,300 - $225,100 for Lead AI Engineer
 
 
 New York, NY: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
 
 
 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
 
 
 This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
 
 
 Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
 
 
 This role is expected to accept applications for a minimum of 5 business days.
 
 
 No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
 
 
 If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
 
 
 For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
 
 
 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
 
 
 Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
</div>

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

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