associate manager, senior analyst, finance operations

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application development technology sr. lead analyst, senior vice president

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ai tech lead

associate manager, senior analyst, finance operations Jobs in Jersey City

bfs ai/data sales specialist - u.s. - chicago or ne region Jobs in Jersey City

business analyst

clinical sales specialist, sports (northern new jersey) - johnson & johnson medtech, orthopaedics Jobs in Jersey City

bfs ai data sales specialist u s chicago or ne region

Nova Web Technologies

<div><p><b>Location:</b> Jersey City, NJ/ Atlanta<br>
<b>Employment Type:</b> Contract / Full-Time<br>
<b>Experience:</b> 5+ Years</p>
<p><b>Position Overview</b>:</p>
<p>We are seeking a highly skilled <b>Data Engineer (Palantir Foundry + TypeScript)</b> to design, develop, and optimize enterprise data solutions leveraging Palantir Foundry, AWS cloud technologies, and modern data engineering practices.</p>
<p>The ideal candidate will possess strong expertise in data engineering, distributed systems, and Palantir Foundry application development. This role will focus on building scalable data pipelines, developing Foundry-based applications, enabling AI-driven analytics, and supporting enterprise data modernization initiatives.</p>
<p>Experience within the Insurance domain is highly preferred.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3>
<h4 class="jobSectionHeader"><b>Data Engineering &amp; Platform Development</b></h4>
<ul><li>Design, develop, and maintain scalable data pipelines and enterprise data platforms.</li>
<li>Build and optimize ETL/ELT workflows supporting large-scale structured and unstructured datasets.</li>
<li>Develop and maintain Foundry datasets, transformations, and data lineage processes.</li>
<li>Create reusable data models and data products supporting enterprise analytics initiatives.</li>
<li>Ensure data quality, governance, security, and performance across data ecosystems.</li>
</ul><h4 class="jobSectionHeader"><b>Palantir Foundry Development</b></h4>
<ul><li>Develop solutions using:
<ul><li>Foundry Pipeline Builder</li>
<li>Foundry Code Repositories</li>
<li>Ontology</li>
<li>Foundry Applications</li>
<li>Workshop</li>
<li>Slate</li>
</ul></li><li>Build and support business applications within the Palantir Foundry ecosystem.</li>
<li>Leverage Foundry AIP capabilities to enable AI-driven business workflows and automation.</li>
<li>Collaborate with business stakeholders to translate requirements into scalable Foundry solutions.</li>
</ul><h4 class="jobSectionHeader"><b>Cloud &amp; Data Architecture</b></h4>
<ul><li>Develop cloud-native solutions utilizing AWS services including:
<ul><li>S3</li>
<li>Glue</li>
<li>Athena</li>
<li>Lambda</li>
<li>Redshift</li>
</ul></li><li>Design scalable data architectures supporting analytics, reporting, and AI/ML use cases.</li>
<li>Optimize storage, compute, and processing performance across cloud environments.</li>
</ul><h4 class="jobSectionHeader"><b>AI &amp; Analytics Enablement</b></h4>
<ul><li>Support machine learning and AI initiatives by preparing and operationalizing data assets.</li>
<li>Collaborate with Data Scientists and AI teams to deploy data-driven solutions.</li>
<li>Enable predictive analytics, operational intelligence, and advanced reporting capabilities.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering Excellence</b></h4>
<ul><li>Participate in Agile development processes and sprint ceremonies.</li>
<li>Implement CI/CD pipelines and DevOps best practices.</li>
<li>Support containerized deployments using Docker and Kubernetes.</li>
<li>Perform code reviews and establish engineering standards.</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications:</b></h3>
<h4 class="jobSectionHeader"><b>Experience</b></h4>
<ul><li>3&ndash;7 years of experience in Data Engineering, Analytics Engineering, or Data Platform Development.</li>
<li>2+ years of hands-on experience with Palantir Foundry.</li>
<li>3+ years of experience with Python and data engineering technologies.</li>
<li>Experience delivering enterprise-scale data solutions.</li>
</ul><h4 class="jobSectionHeader"><b>Technical Skills</b></h4>
<ul><li>Palantir Foundry</li>
<li>Foundry Workshop</li>
<li>Slate</li>
<li>Ontology</li>
<li>Pipeline Builder</li>
<li>Foundry Applications</li>
<li>Python</li>
<li>PySpark</li>
<li>TypeScript</li>
<li>SQL</li>
<li>AWS (S3, Glue, Athena, Lambda, Redshift)</li>
<li>Snowflake</li>
<li>Data Modeling</li>
<li>ETL/ELT Development</li>
</ul><h4 class="jobSectionHeader"><b>Architecture &amp; Platform Knowledge</b></h4>
<ul><li>Distributed Systems</li>
<li>Microservices Architecture</li>
<li>Data Governance</li>
<li>Cloud-Native Data Platforms</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3>
<ul><li>Palantir Foundry Certification.</li>
<li>Experience with Foundry AIP and Generative AI solutions.</li>
<li>Experience integrating TensorFlow, PyTorch, or other AI/ML frameworks.</li>
<li>Insurance or P&amp;C Insurance industry experience.</li>
<li>Consulting or client-facing delivery experience.</li></ul></div>

Data Engineer (Palantir Foundry + TypeScript)

Deloitte

<div>Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced <b>Engineering Lead-Data, Analytics &amp; AI Platform </b>you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model (PTM) is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.<br>
<br>
<b>Work you'll do/Responsibilities
</b><br>
<br>
As a Senior Consultant at Deloitte, you will work within an engagement team and be responsible for supporting the overall project goals and objectives. In this role, you will interact with stakeholders and cross-functional teams. It is expected that you will be able to perform independent tasks as well as provide technical guidance to team members, as needed.
<br>
<ul><li>Serve as the primary accountability owner across Data &amp; Analytics Platform Engineering and Agentic AI Platform Engineering owning deliverables, timelines, quality, and capacity alignment
</li><li>Lead delivery of application integrations and conversational analytics capabilities built to enterprise standards
</li><li>Drive agentic AI engineering delivery including AI agent portal development, reusable agentic frameworks, and enterprise-grade AI agent and tool engineering
</li><li>Own cloud-native agentic architecture deployments and MLOps/LLMOps enablement ensuring solutions are scalable, compliant, and interoperable
</li><li>Manage demand, capacity planning, and project scoping maintaining accurate forecasts and ensuring engineering commitments are met within agreed SLAs
</li><li>Engage directly with business stakeholders and technology leadership to align delivery priorities and effort estimates
</li></ul><br>
<b>The Team
</b><br>
<br>
Join our AI &amp; Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.<br>
<br>
Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.<br>
<br>
<b>Qualifications
</b><br>
<br>
<b>Required
</b><br>
<ul><li>Hands-on experience leading enterprise data and AI engineering teams
</li><li>Experience in leading enterprise data warehouse design, data architecture, and semantic layer development ensuring strong data governance, lineage, and metadata management practices
</li></ul><ul><li>Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
</li><li>Limited immigration sponsorship may be available
</li><li>Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
</li></ul><br>
<b>Preferred
</b><br>
<ul><li>Analytical ability to manage multiple projects and prioritize tasks into manageable work products
</li><li>Can operate independently or with minimum supervision
</li><li>Excellent Written and Communication Skills
</li><li>Ability to deliver technical demonstrations
</li></ul><br>
For individuals assigned and/or hired to work in New Jersey , Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New Jersey and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is $125,000 to $155,000.<br>
<br>
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Engineering Lead-Data, Analytics & AI Platform

Stradit

<div><p>We are seeking an experienced AI Engineering Lead to design, build, and scale advanced AI systems from model development through production deployment. The role involves leading the architecture of machine learning solutions, defining engineering best practices, and ensuring robust, reliable, and scalable AI workflows.</p><p>
The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow, or JAX. This role requires experience with cloud platforms (AWS, GCP, or Azure), containerization tools like Docker and Kubernetes, and familiarity with MLOps practices including model versioning, deployment, and monitoring.</p><p>
You will collaborate closely with research, product, and engineering teams to deliver high-impact AI solutions, while also mentoring engineers and driving technical excellence across the organization. Strong leadership and communication skills are essential, along with a proven ability to bridge research and production environments.</p><p>
This is a hybrid position for candidates located in NY/NJ that can commute to the office 4 days a week.
</p><p></p><p><b>Required Qualifications</b></p><ul><li>
Lead the architecture and implementation of AI systems, from model development to deployment.</li><li>
Define engineering best practices for AI workflows, model lifecycle, and system reliability.</li><li>
8+ years of experience in software engineering, including 2+ years leading or mentoring teams.</li><li>
Strong background in machine learning systems, data pipelines, or distributed computing.</li><li>
Proficiency in Python (preferred), plus experience with frameworks such as PyTorch, TensorFlow, or JAX.</li><li>
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).</li><li>
Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.).</li><li>
Strong understanding of model deployment, versioning, and monitoring.</li><li>
Excellent communication skills and ability to collaborate with research and product stakeholders.</li></ul></div>

AI Tech Lead

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you.<br>
<br>
</p><p>As a Director of Software Engineering at JPMorganChase within the Card Services, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.</p><div><div><p>
</p><div>Job Responsibilities</div><div>
</div></div><ul><li>Leads technology and process implementations to achieve functional technology objectives</li><li>
Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures</li><li><b>
Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.</b></li><li><b>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.</b></li><li>
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Delivers technical solutions that can be leveraged across multiple businesses and domains</li><li>
Influences peer leaders and senior stakeholders across the business, product, and technology teams</li></ul><p><br>
</p><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
</li><li>Experience developing or leading cross-functional teams of technologists</li><li>
Experience with hiring, developing, and recognizing talent</li><li><b>
Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.</b></li><li><b>
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.</b></li><li>
Practical cloud native experience</li>
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field<br>
<li>
<br>
<br>
</li></ul></div><b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><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><p></p><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></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Director of Software Engineering

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>6/11/2026</p>
</div><div><p>Description</p>
<div><h4 class="jobSectionHeader"><b>Job Summary</b></h4><p>
The Sr. Data Scientist is responsible for establishing and implementing new or revised data science and machine learning application systems in coordination with the Technology team. The overall objective of this role is to lead the applications systems analysis, advanced model development, and programming activities for our data science initiatives.</p><h4 class="jobSectionHeader"><b>
Responsibilities</b></h4><ul><li><b>
Strategic Partnership:</b> Partner with multiple management teams to ensure appropriate integration of data science functions to meet goals. Identify and define necessary system enhancements to deploy new data products and process improvements, with a focus on leveraging machine learning.</li><li><b>
Problem Resolution:</b> Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying advanced statistical analysis and machine learning modeling techniques.</li><li><b>
Technical Leadership &amp; Expertise:</b> Provide subject matter expertise in data science and advanced knowledge of AI/ML applications. Ensure application design adheres to the overall architecture blueprint. Key areas of focus include:<ul><li>
Developing complex machine learning models using the Python AI/ML stack.</li><li>
Designing and implementing solutions for anomaly detection, noun entity recognition (NER), and rule-based compliance policies.</li><li>
Building and deploying Agentic AI solutions using Large Language Models (LLMs).</li></ul></li><li><b>
ML Lifecycle Management:</b> Utilize advanced knowledge of the machine learning model lifecycle to develop and enforce standards for coding, testing, debugging, and implementation of scalable, production-grade models.</li><li><b>
Business Integration:</b> Develop a comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals and to ensure the effective deployment of data science capabilities.</li><li><b>
Innovation &amp; Solutioning:</b> Provide in-depth analysis with interpretive thinking to define complex business issues and develop innovative, data-driven solutions and machine learning models.</li><li><b>
Mentorship:</b> Serve as an advisor or coach to mid-level data scientists and analysts, allocating work as necessary and fostering a culture of technical excellence.</li><li><b>
Risk Management:</b> Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. This includes driving compliance with applicable laws, rules, and regulations related to data and AI, adhering to Policy, applying sound ethical judgment, and escalating, managing, and reporting control issues with transparency.</li></ul><h4 class="jobSectionHeader"><b>
Recommended Qualifications</b></h4><ul><li><b>
Experience:</b> 6-10 years of relevant experience in a Data Science, Machine Learning, or a related Applications Development role with a strong focus on quantitative analysis.</li><li><b>
Technical Proficiency:</b> Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch).</li><li><b>
Project Implementation:</b> Proven experience in managing and implementing successful data science projects from conception to production.</li><li><b>
Subject Matter Expertise:</b> Recognized Subject Matter Expert (SME) in applied machine learning, with deep knowledge in one or more of the following:<ul><li>
Anomaly Detection</li><li>
Natural Language Processing (NLP), particularly Noun Entity Recognition (NER)</li><li>
Agentic AI using Large Language Models (LLMs)</li><li>
Rule-based systems for compliance and policy implementation</li></ul></li><li><b>
Preferred Skills:</b> Familiarity with the SAS programming language and/or Java-based microservices architecture is a plus.</li><li><b>
Adaptability:</b> Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li><b>
Leadership:</b> Demonstrated leadership and project management skills.</li><li><b>
Communication:</b> Consistently demonstrates clear and concise written and verbal communication, with the ability to convey complex technical concepts to diverse audiences.</li></ul><h4 class="jobSectionHeader"><b>
Education</b></h4><ul><li><b>
Required:</b> Bachelor&rsquo;s degree/University degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering, or equivalent experience.</li><li><b>
Preferred:</b> Master&rsquo;s degree or Ph.D. in a relevant quantitative discipline is highly preferred.</li></ul><p>
-</p><h4 class="jobSectionHeader"><b>
Job Family Group:
</b></h4>Technology<p>
-</p><h4 class="jobSectionHeader"><b>
Job Family:</b></h4>
Applications Development<p>
-</p><h4 class="jobSectionHeader"><b>
Time Type:</b></h4>
Full time<p>
-</p><h4 class="jobSectionHeader"><b>
Primary Location:</b></h4>
Jersey City New Jersey United States<p>
-</p><h4 class="jobSectionHeader"><b>
Primary Location Full Time Salary Range:</b></h4>
$142,320.00 - $213,480.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><h4 class="jobSectionHeader"><b>
Most Relevant Skills
</b></h4>Please see the requirements listed above.<p>
-</p><h4 class="jobSectionHeader"><b>
Other Relevant Skills
</b></h4>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><h4 class="jobSectionHeader"><b>
Anticipated Posting Close Date:</b></h4>
Jun 17, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
142,320.00 - 213,480.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Sr. Data Scientist - Vice President

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div>Team up with a diverse array of teams and elevate your skillset to champion customer journeys and craft unparalleled customer experiences.</div><div><br>
</div><div>As a Customer Success Associate in Chief Data &amp; Analytics Office Client Engagement Team, you support customers in their journey toward achieving their desired outcomes. Work closely with the Customer Success team and other cross-functional groups to ensure a seamless customer experience while gaining the skills you need to grow within your role. You support customers and colleagues in their journey toward achieving desired outcomes on JPMorganChase's firmwide Data &amp; AI Platform. You help users of all experience levels&mdash;from business analysts to data scientists and engineers&mdash;discover, access, and responsibly use the platform's data, AI, and governance capabilities. As a primary point of contact for inquiries and issues, you provide clear guidance, resolve problems efficiently, and drive adoption of self-service tools. You work closely with the Customer Success team and cross-functional partners (including Product, Engineering, and SRE) to ensure a seamless customer experience while building the skills you need to grow within your role.</div><div>
</div><div></div><div><b>Job responsibilities</b></div><div><ul><li>
Helps execute product adoption, expansion, and retention activities to support a healthy customer base</li><li>
Attends and participates in regular account meetings while keeping thorough notes to ensure accountability for customers</li><li>
Investigates and resolves customer issues in a timely and efficient manner</li><li>
Tracks and analyzes key metrics to measure customer success
</li><li>Serves as the first line of support for the firmwide Data &amp; AI Platform, triaging and resolving user inquiries.</li><li>
Builds a comprehensive understanding of capabilities offered by the platform (data, AI, and governance) to manage client queries quickly and efficiently.</li><li>
Provides tailored guidance for users at varying skill levels; translates requirements into clear next steps and recommended paths.</li><li>
Troubleshoots common setup and integration issues in collaboration with Product, Engineering, and SRE.</li><li>
Identifies, documents, and resolves incidents; coordinates cross-team escalations; provides timely user updates; contributes to post-incident reviews and preventive actions.</li><li>
Creates and maintains knowledge base articles, quick-start guides, FAQs, and how-to content to reduce friction and increase self-service.</li><li>
Hosts office hours, clinics, and short training sessions to improve user proficiency and adoption.</li></ul></div><div><b>
Required qualifications, capabilities, and skills</b></div><div><ul><li>
2+ years of experience or equivalent expertise in customer success or a relevant domain area</li><li>
Strong verbal and written communication skills</li><li>
Comfortable using technology with a willingness to learn new technological skills, programs, and tools</li><li>
Demonstrated analytical skills and critical thinking ability</li><li>
Client-obsessed service mindset with professionalism, empathy, and strong follow-through.</li><li>
Ability to translate complex, technical topics into simple, actionable steps for non-technical audiences.</li><li>
Working knowledge of data and platform concepts (e.g., datasets, access/permissions, metadata, and governance).</li><li>
Experience triaging requests/issues and managing work through a queue, ticketing system, or similar workflow.</li><li>
Hands-on troubleshooting skills for common user setup, access, and integration challenges; knows when and how to escalate.</li><li>
Ability to create clear documentation, FAQs, and how-to guides to enable user self-service.</li><li>
Operational rigor and organization skills to prioritize effectively, meet SLAs, and use KPIs/OKRs to drive continuous improvement.</li></ul></div><div><b>
Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience supporting enterprise data/AI platforms, analytics tools, or internal developer platforms.</li><li>
Familiarity with data governance practices and tooling (e.g., data cataloging, access workflows, policy controls).</li><li>
Basic SQL proficiency and comfort validating data or diagnosing issues using queries where applicable.</li><li>
Experience with incident management, post-incident reviews, and preventive action tracking (e.g., ITIL-aligned practices).</li><li>
Familiarity with APIs and integrations and common root causes of connectivity/authentication issues.</li><li>
Experience creating training materials and leading enablement sessions (office hours, clinics, short trainings).</li><li>
Experience measuring and improving service outcomes using operational metrics (e.g., CSAT, deflection, time-to-value).</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>
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>

Customer Success Associate - Chief Data & Analytics Office Client Engagement

Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
<p><b>What we offer</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
<p><b>Compensation:</b> The <b>United States base salary</b> range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Data Infrastructure & Acquisition - Jersey City, NJ, USA

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