data analyst

business analyst

financial analyst

2-year analyst - alpinvest primaries Jobs in New York

2-year analyst - alpinvest primaries

account executive, real estate Jobs in New York

account executive, real estate

real estate investment analyst

Corcoran Legends Realty Company 

<p>*About Us*</p><p>Corcoran Legends Realty Management is a results-driven real estate company helping clients buy, sell, and invest with confidence. We deliver expert guidance, local market knowledge, and exceptional service.</p><p> </p><p>*Role Overview*</p><p>We’re looking for a detail-oriented Virtual Assistant to support our real estate team with daily operations, client communication, and data management.</p><p> </p><p>*Key Responsibilities:*</p><p>- *Admin Support*: Manage emails, calendars, and schedule showings/appointments</p><p>- *Data Entry*: Update MLS listings, CRM, spreadsheets, and property files</p><p>- *Client Communication*: Respond to buyer/seller/renter inquiries via phone, email, and text</p><p>- *Marketing Support*: Assist with social media posts, listing descriptions, and flyers</p><p>- *Document Prep*: Contracts, lease agreements, and transaction paperwork organization</p><p>- *Research*: Market comps, lead generation, and vendor coordination</p><p> </p><p>*Requirements:*</p><p>- 1+ years VA or admin experience, real estate experience a plus</p><p>- Strong skills in Google Workspace, Microsoft Office, CRM tools</p><p>- Excellent written + verbal communication skills</p><p>- Highly organized, reliable internet, and able to work independently</p><p>- Knowledge of MLS, Zillow, or property management software is a bonus</p><p> </p><p>*Benefits:* Flexible remote schedule, growth opportunities, commission bonuses on referrals.</p><p> </p><p>Apply now and help us grow Corcoran Legends Realty Management!</p>

Remote Virtual Assistant

Ameriprise Financial

<div><p><b>About Our Company</b></p><p><br>
We&rsquo;re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses &ndash; Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.</p><p></p><p><b>
Job Description</b></p><p></p>
The VP-Forward Deployed Engineer operates at the intersection of investment strategy, quantitative analysis and applied artificial intelligence. The position is responsible for partnering closely with portfolio management and investment research teams to identify opportunities, design solutions, and develop, prototype, and deploy LLM-enabled tools that enhance investment decision-making and research processes. Combines investment management knowledge with software engine capabilities to translate investment ideas and research needs into scalable technology solutions.<p></p><p><b>
Key Responsibilities</b></p><ul><li>
Serve as a trusted advisor to investment leaders, translating investment strategies, research priorities, and business challenges into innovative AI-enabled solutions that improve investment outcomes and organizational efficiency.</li><li>
Drive the design and delivery of proof-of-concept and production-ready AI capabilities, leveraging advanced analytics, machine learning, and LLM technologies to accelerate investment insights and decision-making.</li><li>
Partner across Investments, Technology, Data, Risk, and Compliance functions to ensure solutions meet enterprise standards for security, governance, scalability, and regulatory compliance.</li><li>
Influence the AI and investment technology roadmap by identifying high-value opportunities, evaluating emerging capabilities, and promoting adoption of innovative solutions across the investment organization.</li><li>
Lead the transition of successful prototypes into sustainable enterprise capabilities, partnering with engineering and platform teams to scale solutions and realize long-term business value.</li></ul><p><b><br>
Required Qualifications</b></p><ul><li>
10+ years of combined experience across investment management, quantitative research/strategy, and hands-on software or AI engineering, with demonstrated success taking investment problems from concept to working solution.</li><li>
Direct experience working alongside trading desks, portfolio managers, or investment researchers, with desk strategist, quant strat, or research technologist backgrounds strongly preferred.</li><li>
Hands-on experience building and shipping LLM enabled/integrated applications: RAG/embeddings, agentic workflows, prompt engineering, API integration.</li><li>
Strong Python development skills producing production-quality code.</li><li>
Expertise with cloud infrastructure and modern software practices (CI/CD, version control, API design).</li><li>
Fluency in at least one asset class (equities, fixed income, multi-asset, or macro) at a level where you can challenge and contribute to investment discussions, not just support them.</li><li>
Track record of delivering secure, auditable AI solutions in a regulated environment, partnering with risk and compliance.</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Direct experience supporting front-office investment teams (portfolio managers, analysts, researchers, traders).</li><li>
Familiarity with agent frameworks and orchestration tools (LangChain, LangGraph, LlamaIndex, MCP) and vector databases.</li><li>
Experience building internal copilots, research assistants, or document-intelligence tools.</li><li>
CFA, FRM, or equivalent investment credential.</li><li>
Track record of shipping AI or analytics solutions that produced measurable, real-world outcomes.</li></ul><p></p><p><b>
Visa Sponsorship</b><br>
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).</p><p></p><p><b>
In-Office Collaboration</b><br>
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders &mdash; clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.</p><p></p><p><b><br>
Base Pay Salary</b></p><p></p>
The estimated base salary for this role is $242,100 - $332,900 / year. We have a pay-forperformance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.<p></p><div><div><div><div><div><div><div><p><b>
Full-Time/Part-Time</b></p></div></div></div></div></div></div></div>
Full time<p></p><div><div><div><div><div><div><div><p><b>
Exempt/Non-Exempt</b></p></div></div></div></div></div></div></div>
Exempt<p></p><div><div><div><div><div><div><div><p><b>
Job Family Group</b></p></div></div></div></div></div></div></div>
Data<p></p><div><div><div><div><div><div><div><p><b>
Line of Business</b><b>
</b></p></div></div></div></div></div></div></div>TECH Technology<p></p><p><i>
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.</i></p><p></p><p><i>
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.</i></p></div>

Vice President - Forward Deployed Engineer

HelloFresh

<div><h2 class="jobSectionHeader"><b>Senior Data Analyst</b></h2>
<p><b><i>
This is a hybrid role to our Newark, NJ HelloFresh facility</i></b></p>
<h2 class="jobSectionHeader"><b>
The role</b></h2>
<p>
As a Senior Data Analyst at HelloFresh, you will anchor the data strategy driving our aggressive, automation-first transformation. Our Global Customer Experience (GCX) team's mission is to understand our customers' journeys and empower market leads with insights and intelligent solutions that improve satisfaction, retention, and efficiency. We are moving fast to scale our self-serve rate, achieve 100% chatbot coverage, improve CSAT, and launch real-time, proactive incident communications via in-app CRM channels.</p>
<p>
We need a strategic thought partner for our Product, Engineering, and CX Automation teams who brings a high bar of technical rigor. In this role, you will own our core automation analytics architecture (chatbots, voicebots, agent-assist AI, and customer self-reporting tools), dive deep into GenAI conversational landscapes, and translate complex log data into actionable roadmap strategies. If you love solving open-ended problems and want to directly shape the experience of millions of global customers, you might just be our missing ingredient.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Anchor the data strategy for our entire automation and chatbot analytics infrastructure, serving as the sole embedded analytics lead within the Global CX department.</li>
<li>Proactively monitor user intents and trends to diagnose system bugs early and establish standardized, organization-wide KPIs for bot containment and NLP accuracy.</li>
<li>Conduct deep-dive analyses of chat transcripts and user journeys, leveraging semantic clustering and LLM evaluation to uncover friction points and tune conversational flows.</li>
<li>Continuously optimize and secure our reporting environment, ensuring data integrity, normalization, and advanced visualization techniques for critical executive decision-making.</li>
<li>Partner closely with cross-functional teams (Product, Engineering, and CX Automation) to translate complex customer log data and system requirements into sustainable roadmap strategies.</li>
<li>Own and deliver core business reporting mechanisms and dashboards, including the Monthly Business Review (MBR) and EBIT reviews.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll bring</b></h2>
<ul><li>A passion for driving automation-first transformations and solving complex operational problems within a fast-paced customer experience environment.</li>
<li>Advanced proficiency in Python and SQL to handle increased domain complexity and secure our underlying reporting architecture.</li>
<li>Experience with next-gen agentic workflow stacks (e.g., Claude Code, Cursor) to optimize development and analytical speed.</li>
<li>Proven track record of designing, implementing, and maintaining high-visibility BI solutions and dashboards that communicate trends clearly to Directors, VPs, and SVPs.</li>
<li>Excellent communication and stakeholder management skills, with the confidence to lead complex data analytics projects and influence cross-functional partner</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
You'll get</b></h2>
<ul><li><ul><li>Competitive Salary &amp; 401k company match that vests immediately upon participation</li>
<li>Generous parental leave of 16 weeks &amp; PTO policy, as well as paid holidays off</li>
<li>$0 monthly premium and other flexible health plans</li>
<li>Amazing discounts, including up to 85% off HelloFresh subscription</li>
<li>Emergency child and adult care services</li>
<li>Snacks &amp; monthly catered lunches</li>
<li>Collaborative, dynamic work environment within a fast-paced, mission-driven company</li></ul></li><br>
</ul>
<p></p><p>This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.</p>
<div>
#data</div></div>

Senior Analyst - CX Automation Intelligence & Insights

steinberger construction inc

<p><strong>Job Overview</strong><br /><br />Steinberger Construction Inc. is seeking a dedicated and professional <strong>Customer Experience Associate</strong> to join our team in <strong>New York, New York</strong>. This is a <strong>full-time</strong> position ideal for an individual who is passionate about delivering exceptional client service within the dynamic construction industry. The successful candidate will be the primary point of contact for our clients, ensuring a smooth, transparent, and positive experience throughout the entire project lifecycle. You will play a crucial role in maintaining our reputation for quality and client satisfaction.<br /><br /><strong>Responsibilities</strong><br /><br /> </p><ul><li>Serve as the main point of contact for all client enquiries, providing timely and professional responses.</li><li>Proactively communicate project updates, milestones, and any potential delays to clients.</li><li>Manage client expectations effectively and work to resolve any issues or concerns in a prompt and efficient manner.</li><li>Liaise between clients and internal teams, including project managers and contractors, to ensure client requirements are clearly understood and met.</li><li>Gather, analyse, and report on client feedback to identify trends and contribute to our continuous service improvement initiatives.</li><li>Maintain accurate and detailed records of all client interactions and correspondence.</li><li>Assist in the preparation of client-facing documentation, presentations, and reports.</li><li>Organise and coordinate client meetings, site visits, and project handover procedures.</li></ul><p><strong>Qualifications</strong><br /><br /> </p><ul><li>Proven experience in a customer service, client relations, or account management role.</li><li>Exceptional verbal and written communication skills, with a keen eye for detail.</li><li>Strong interpersonal skills with the ability to build and maintain lasting client relationships.</li><li>Excellent organisational and problem-solving capabilities, with an aptitude for managing multiple priorities simultaneously.</li><li>A professional, patient, and empathetic approach to client management.</li><li>Proficiency in the Microsoft Office Suite is essential.</li><li>Experience within the construction, engineering, or real estate sectors is highly desirable but not essential.</li><li>Familiarity with CRM software would be considered an advantage.</li></ul><p><br /><strong>Benefits</strong><br /><br /> </p><ul><li>A competitive daily salary ranging from <strong>$250 to $500 USD</strong>, commensurate with experience.</li><li>Opportunities for professional growth and career development within a reputable company.</li><li>A collaborative and supportive work environment.</li><li>The chance to be a key part of exciting and impactful construction projects.</li></ul><p> </p>

Customer Experience Associate

Tessera Labs

<div>
 <strong>
  About Tessera Labs
  <br/>
  <br/>
 </strong>
 Tessera Labs is a new category of enterprise software: an AI platform that changes how the world's largest companies run.
 <br/>
 <br/>
 Every large enterprise carries the same weight &mdash; decades of accumulated process, data, and code that no longer match the business it has become. Changing any of it is a program measured in years and hundreds of millions of dollars, staffed by armies of consultants, and it fails more often than anyone admits. Most companies have quietly accepted this as the cost of being large.
 <br/>
 <br/>
 We don't. Tessera is a transformation engine: a governed, multi-agent platform that understands an enterprise's process, data, and code as one connected system and changes it in weeks rather than years. We're vendor-agnostic by design &mdash; SAP, Salesforce, Workday, Oracle, Snowflake, MuleSoft &mdash; and tied to none of them.
 <br/>
 <br/>
 Two things make this hard, and they're the reason the job is interesting. Governance: every action is logged, traceable, and reversible, because our customers are regulated and these are the systems that close their books. And generality: the platform has to work on landscapes it has never seen, at companies whose complexity is genuinely unique to them.
 <br/>
 <br/>
 <strong>
  We sell a product, not a service.
 </strong>
 Our people are here to make the product successful, not the other way around. If you've watched enterprise AI companies quietly become consultancies, that distinction is the one to press us on.
 <br/>
 <br/>
 We raised a $60M Series A led by Andreessen Horowitz, with Foundation Capital, Myriad Venture Partners, and Osage University Partners participating.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Turning platform capability into outcomes a Fortune 500 will bet on has two halves &mdash; the systems that surround the model, and the model itself. This role owns the first.
 <br/>
 <br/>
 You will own agents end to end: the harness they run in, the tools they call, the context they see, the guardrails around them, and the evals that tell us whether any of it is improving. Most of the difficulty is not model access. It's an agent reasoning across a landscape with nineteen years of undocumented decisions embedded in it, where one call silently returns a stale schema forty steps into a plan &mdash; and the work of making that failure legible, reproducible, and then impossible.
 <br/>
 <br/>
 This is not a prototyping role. Everything you build gets pointed at systems a company's quarter close depends on.
 <br/>
 <br/>
 <em>
  If the model itself interests you more than the systems around it, look at Research Engineer &mdash; same team, other half of the problem.
  <br/>
  <br/>
 </em>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and ship the production agents that do transformation work: understanding a landscape, planning a change, executing it across process, data, and code, and proving it was correct.
  </li>
  <li>
   Build the tool layer &mdash; typed, permissioned, well-documented interfaces that let agents read and act across enterprise systems without ever exceeding what a human approver authorized.
  </li>
  <li>
   Improve agent performance through prompting, context construction, tool-use strategy, and decision logic &mdash; and know which of those a given failure calls for.
  </li>
  <li>
   Build the retrieval layer over enterprise artifacts and metadata: chunking and indexing strategies for content that doesn't resemble prose, hybrid search, reranking, grounding, and the evaluation that tells you whether any of it helped.
  </li>
  <li>
   Manage context deliberately. Enterprise artifacts are enormous and a forty-step run accumulates history fast; deciding what the model sees, what gets compressed, and what gets dropped is a first-class engineering problem here, not a prompt detail.
  </li>
  <li>
   Use classical ML where it's the right tool. Plenty of the work inside an agent pipeline &mdash; routing, ranking, classification, anomaly detection, confidence estimation &mdash; is better served by a small supervised model than by another LLM call, and knowing the difference is part of the job.
  </li>
  <li>
   Build the eval and monitoring layer: task sets drawn from real customer landscapes, regression coverage on every deploy, and alerting that catches a changed schema, a revoked authorization, or a new model version before the customer does.
  </li>
  <li>
   Instrument every run so each model call, tool invocation, decision, and human approval can be reconstructed afterward. This is what "passes audit" means in practice, and it's a product requirement rather than a nice-to-have.
  </li>
  <li>
   Diagnose production failures from execution traces down to root cause, then close the gap in the system rather than in a single prompt.
  </li>
  <li>
   Design the guardrails, approval gates, and rollback paths that make an agent safe to point at a live enterprise landscape.
  </li>
  <li>
   Build capability that generalizes. Anything that only works for one customer is a bug in the product, not a feature of the engagement.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Representative projects
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shipping the agent that lets a customer retire a third of their custom estate in a quarter &mdash; and the review surface that makes a human comfortable approving each call in minutes rather than days.
  </li>
  <li>
   Designing the approval and write semantics for agents operating in a live landscape, so nothing reaches production without a traceable human decision and no partial failure leaves systems inconsistent.
  </li>
  <li>
   Building the reconciliation agent that makes two merged companies' data agree, plus the eval set that tells us when it's confident and when it's guessing.
  </li>
  <li>
   Standing up the replay-evaluation pipeline that scores a candidate agent version against a month of recorded runs &mdash; real system responses, mocked writes &mdash; so a regression is caught before anything is touched in a customer environment.
  </li>
  <li>
   Taking a pattern that worked at one customer and turning it into a platform primitive that works at the next four without a human rewriting it.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You may be a good fit if you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 3+ years building and operating production software, with meaningful recent time on LLM-powered systems.
  </li>
  <li>
   Have shipped agentic systems that real users depend on, and have owned the incident when they broke.
  </li>
  <li>
   Are fluent in the current agent toolkit &mdash; tool calling, orchestration, context engineering, RAG, evals, tracing &mdash; and can say where each one stops working.
  </li>
  <li>
   Have built retrieval systems against messy real-world corpora, and have measured them rather than assumed them.
  </li>
  <li>
   Have real traditional ML in your background &mdash; supervised learning, feature engineering, model evaluation &mdash; and reach for it when it beats a prompt.
  </li>
  <li>
   Treat evaluation as engineering rather than a report you generate at the end.
  </li>
  <li>
   Think in systems and customer outcomes, not model metrics.
  </li>
  <li>
   Are comfortable with non-determinism and have opinions about building reliably on top of it.
  </li>
  <li>
   Write strong Python and are comfortable in TypeScript.
  </li>
  <li>
   Ship fast, and verify before you claim it works.
  </li>
  <li>
   Find large, ugly, undocumented enterprise systems interesting rather than beneath you. That instinct is most of the job, and it's rarer than it should be.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strong candidates may also have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with enterprise platforms, their APIs, and their extension models &mdash; SAP, Salesforce, Workday, Oracle, Snowflake, MuleSoft, ServiceNow.
  </li>
  <li>
   Experience with knowledge graphs, ontologies, or semantic models over messy real-world systems.
  </li>
  <li>
   Experience with code analysis, program transformation, or automated refactoring at scale.
  </li>
  <li>
   Experience with MCP, sub-agents, or agent skill/plugin architectures.
  </li>
  <li>
   A background in distributed systems or workflow engines, where partial failure is the default case.
  </li>
  <li>
   Experience at an early-stage startup or as a founder, where scope was whatever needed doing that week.
  </li>
  <li>
   Familiarity with enterprise security and compliance realities: SSO, RBAC, segregation of duties, PII handling, SOC 2, data residency.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join the Future of AI at Tessera Labs
  <br/>
  <br/>
 </strong>
 We're looking for someone who enjoys building reliable, scalable systems that help teams move faster. If you take pride in cutting-edge AI, value clear ownership, and want to have a meaningful impact in a fast-moving environment, you&rsquo;ll fit right in.
 <br/>
 <br/>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 <br/>
 <br/>
 Compensation Range: $200K - $250K
 <br/>
 <br/>
</div>


AI Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Description</p><p>
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.<br>
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.<br>
<b>Job responsibilities</b><br>
</p><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><b>
Extensive knowledge and exposure to the external Cloud and Infrastructure Partner Ecosystem, and domain knowledge of key technology trends</b></li></ul><p><b><br>
Required qualifications, capabilities and skills</b><br>
</p><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><b>
Customer Obsession:</b> 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><b>
Growth Mindset:</b> 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><b>
Problem Solver:</b> 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><b>
Executive Presence:</b> 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><b>
Excellent Communicator: </b>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><b>
Technical Breadth: </b>Enterprise customer level experience with Artificial Intelligence, Data Platforms &amp; Cyber</li><li><b>
Technical Depth:</b> Depth in multiple areas of AI and Data.<br>
</li></ul><p><br>
<b>Preferred qualifications, capabilities and skills</b><br>
</p><ul><li>Financial services background is preferred</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<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><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
<br>
<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.<br>
</div><div></div><br>
<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

Palo Alto Networks

<div><div>Santa Clara, California, United States of America
<br>
New York, New York, United States of America
<br>
Plano, Texas, United States of America Product Engineering Ref ID: JR-020960</div><p></p><div><br>
</div><div><p><b>Our Mission</b></p>
<p></p><p>At Palo Alto Networks&reg;, we&rsquo;re united by a shared mission&mdash;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&rsquo;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&rsquo;re in the right place.</p>
<p></p><p><b>Who We Are</b></p>
<p></p><p>In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!</p>
<p></p>We believe collaboration thrives in person. That&rsquo;s why most of our teams work from the office full time, with flexibility when it&rsquo;s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
<p></p><p><b>Job Summary</b></p>
<p></p><p>As a Forward Deployed Engineer (FDE) for AI Gateway, you are a hands-on developer and systems architect who embeds with customer engineering teams. You write production code, design low-latency topologies, and build custom plugins to ship secure enterprise AI workloads to production. You bridge the gap between customer production environments and core engineering&mdash;extending the platform edge while directly contributing code back to the core AI Gateway engine.</p>
<p></p><p><b>Key Responsibilities</b></p>
<ul><li><p>Write production-grade code (Python, Go, TypeScript) to integrate AI Gateway with microservices, API meshes, and multi-cloud architectures.</p>
</li><li><p>Build custom middleware/plugins for identity-aware policies, prompt security, dynamic routing, and telemetry pipelines.</p>
</li><li><p>Develop automated deployment modules (Terraform, Helm, Kubernetes) and SDK wrappers.</p>
</li><li><p>Optimize high-throughput, low-latency traffic paths (streaming payloads, caching, load balancing).</p>
</li><li><p>Lead Architectural Design Reviews (ADRs) with customer Principal Engineers and CISOs for zero-trust deployments.</p>
</li></ul><p></p><p><b>Qualifications
</b></p><p><b>Required Qualifications</b></p>
<ul><li><p>7+ years writing production code (Python, Go, TypeScript/C++), with deep experience in APIs (gRPC, REST, WebSockets) and API gateways (Envoy, Kong).</p>
</li><li><p>Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, and vector databases/RAG architectures.</p>
</li><li><p>Proficiency in Kubernetes, Docker, Terraform, AWS/GCP/Azure, OIDC/OAuth2, and zero-trust networking.</p>
</li></ul><p></p><p><b>Preferred Qualifications</b></p>
<ul><li><p>A hands-on builder who loves pair-programming with customer devs and digging into raw code/traces to solve live outages.</p>
</li><li><p>Experience thinking like an engineer first and a consultant second.</p>
</li><li><p>Proven ability to own problems end-to-end.</p>
</li><li><p>Ability to whiteboard enterprise architecture, debug an API integration, review code, and influence the product roadmap.</p>
</li></ul><p></p><p><b>Compensation Disclosure</b></p>
<p></p><p>The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.</p>
<p></p>$147,000.00 - $237,500.00/yr
<p></p><p><b>Our Commitment
</b></p><p></p><p>We&rsquo;re trailblazers that dream big, take risks, and challenge cybersecurity&rsquo;s status quo. It&rsquo;s simple: we can&rsquo;t accomplish our mission without diverse teams innovating, together.</p>
<p></p><p>We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.</p>
<p></p><p>Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.</p>
<p></p><p>All your information will be kept confidential according to EEO guidelines.</p>
<p></p>Is role eligible for Immigration Sponsorship?: Yes</div></div><p></p>

Senior Forward Deployed Engineer (Customer Engineering)

Explore 21+ Real estate investment analyst in New York this September. Find roles across top companies and apply now to boost your career.