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advanced software engineer - peoplesoft

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ai solutions engineer hybrid

NTT DATA

<b>Req ID:</b> 370261
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a AI Solutions Engineer - HYBRID to join our team in New York, New York (US-NY), United States (US).
<br><br>
Improve the end-to-end developer experience of AI development tools. Identify friction points, drive workflow improvements, and raise adoption by making AI tooling faster, clearer, and more reliable for developers in their daily work.
<br><br>
<b>Day to Day Responsibilities:</b><br>
<ul>
<li>Partner with developers across teams to identify friction points with current AI tools and workflows.</li>
<li>Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows).</li>
<li>Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist.</li>
<li>Instrument usage and feedback to quantify impact of improvements.</li>
<li>Produce guidance, examples, and enablement content to help teams adopt improved patterns.</li>
<li>Contribute to knowledge transfer and handover to steady-state teams.</li>
</ul>
<b>Minimum Skills:</b><br>
<ul>
<li>4+ years experience, including recent hands-on use of AI-assisted development tools.</li>
<li>4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows).</li>
<li>4 Years of coding in Python and/or TypeScript; comfortable touching shared code and context repositories.</li>
</ul>
•
<br><br>
<b>Preferred Skills:</b><br>
<ul>
<li>Background in DevEx, platform engineering, or internal developer platforms.</li>
<li>Experience authoring or improving LLM prompts, skills, or plugins in production.</li>
<li>Familiarity with developer telemetry / observability (usage analytics, A/B testing of dev tools).</li>
<li>Financial services experience.</li>
</ul>
User-centric mindset with experience gathering developer feedback and measuring adoption.
<br><ul>
<li>Excellent written and verbal communication.</li>
<li>On-site at Alpharetta, GA or New York City, NY</li>
</ul>
Education
<br>Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience).
<br><br>
#LI-NorthAmerica
<br><br>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,904 - $218,550. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
<br><br>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

AI Solutions Engineer - HYBRID

Louis Vuitton

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 Louis Vuitton Americas is seeking a Senior Data Scientist &ndash; Analytics and AI Data to join our Digital team based in New York City. This individual will act as a hybrid data scientist, MLOps engineer, BI SME, business analyst, and data engineer, while owning the roadmap of analytics and AI solutions that can be industrialized and scaled by central teams. You will sit at the intersection of local business needs and global data/AI strategy, ensuring solutions are impactful, scalable, and aligned with enterprise priorities.
 <br/>
 <br/>
 Job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Product Strategy &amp; Cross-Functional Roadmap:
   <br/>
  </li>
  <ul>
   <li>
    Lead the comprehensive analytics and AI roadmap, guiding it from opportunity identification and prioritization through delivery and transition to central teams.
   </li>
   <li>
    Collaborate with diverse functional stakeholders (e-commerce, retail, CRM, supply chain, finance, etc.) to identify use cases, define problem statements, and translate these into clear data product requirements.
   </li>
   <li>
    Establish success metrics, measure value realization, and continuously refine the roadmap based on impact and feedback.
    <br/>
   </li>
  </ul>
  <li>
   Data Science &amp; Advanced Analytics:
   <br/>
  </li>
  <ul>
   <li>
    Design and lead predictive models and analytical solutions utilizing Python and SQL.
   </li>
   <li>
    Conduct thorough exploratory data analysis, feature engineering, model training, validation, and comprehensive documentation.
   </li>
   <li>
    Develop reusable analytical assets (scores, segments, KPIs) for broad application across various markets and functions.
    <br/>
   </li>
  </ul>
  <li>
   MLOps &amp; Data Engineering:
   <br/>
  </li>
  <ul>
   <li>
    Collaborate with MLOps and Data Engineering teams to develop, orchestrate, and maintain robust data and machine learning pipelines, leveraging tools such as Dataiku and Google BigQuery.
   </li>
   <li>
    Implement best practices for testing, version control, monitoring, and observability to ensure the creation of reliable, production-grade solutions.
   </li>
   <li>
    Partner with central data engineering and platform teams to align initiatives with enterprise standards and promote scalability.
   </li>
   <li>
    Work alongside business, local, and central Data Engineering teams to facilitate data integration and validation, effectively addressing diverse business challenges.
    <br/>
   </li>
  </ul>
  <li>
   BI, Insights &amp; Business Analysis:
   <br/>
  </li>
  <ul>
   <li>
    Act as a Business Intelligence Subject Matter Expert, contributing to the definition of semantic layers, Key Performance Indicators (KPIs), and data models that enable self-service analytics.
   </li>
   <li>
    Guide or develop insightful dashboards and reports using tools like Power BI, Tableau, or Looker, ensuring their actionability and broad adoption across the organization.
   </li>
   <li>
    Perform business analysis, meticulously gathering requirements, mapping processes, and transforming analytical findings into clear recommendations and compelling narratives for various stakeholders.
    <br/>
   </li>
  </ul>
  <li>
   Collaboration with Central / Global Teams:
   <br/>
  </li>
  <ul>
   <li>
    Prepare and package local or cross-functional solutions, including code, design specifications, documentation, and KPIs, for industrialization and ongoing maintenance by central teams.
   </li>
   <li>
    Contribute to the continuous evolution of global data and AI standards, reference architectures, and best practices.
   </li>
   <li>
    Represent cross-functional analytics and AI needs in global forums, effectively highlighting dependencies, potential risks, and opportunities for scaling solutions.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 Profile
 <br/>
 <br/>
 We are excited to speak to skilled and experienced data professional with 3+ years of hands-on experience in data science, analytics, or data engineering, demonstrating end-to-end ownership of data products. The ideal candidate will possess strong proficiency in Python (pandas, NumPy, scikit-learn), advanced SQL skills, and experience with cloud data warehouses such as Google BigQuery. Practical experience with enterprise data processing platforms like Dataiku is also essential. Candidates should have demonstrated expertise in at least three of the following areas: data science/machine learning, BI/reporting and metric design, business analysis/stakeholder management, data engineering/data processing, or Gen AI/Agentic AI product deployment. Strong communication and storytelling abilities are crucial for fostering collaboration between business and technical teams.
 <br/>
 <br/>
 Preferred qualifications include experience in retail, luxury, fashion, or consumer environments, familiarity with experimentation (A/B testing), customer analytics (segmentation, propensity, churn, LTV), or marketing attribution. Exposure to Generative AI/LLMs and their application to customer experience and productivity, along with experience in a hub-and-spoke operating model, are also highly valued. Core competencies for this role include transversal product thinking, technical breadth spanning data science, MLOps, BI, data analysis, and data engineering, the ability to lead initiatives effectively across functions and geographies, and a strong outcome orientation focused on measurable business value and long-term maintainability.
 <br/>
 <br/>
 The appointed candidate will be offered a base salary within the range USD $140,000 - $160,000, a comprehensive benefits package including: medical, dental, vision, short and long-term disability, various paid time off programs, employee discount/perks and two retirement plans both with employer contributions.
 <br/>
 <br/>
 <ul>
  <li>
   Please note that restrictions may apply to part-time employees
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  The position requires 4 days per week on site in the Louis Vuitton Corporate Office, located in the heart of Midtown, Manhattan.
  <br/>
  <br/>
 </em>
 Additional information
 <br/>
 <br/>
 Louis Vuitton is a company that respects the uniqueness of each employee and offers everyone the means to find their place and prosper. We promote initiatives aimed at supporting professional equality for everyone. We strive to go above and beyond purely symbolic measures by building a culture passionate about meaningful strategies aimed at crafting an inclusive workforce.
 <br/>
 <br/>
 In addition to a generous benefits package, unparalleled career development opportunities, both locally &amp; globally, as an employee at Louis Vuitton, you can expect to be provided with industry leading training which will offer you an in-depth insight into the luxury and retail environment.
 <br/>
 <br/>
 Reference LVM32143
</div>


Senior Data Scientist – Analytics and AI Data

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><div><div><div><p><b><br>
Lead Software Engineer | Software Engineer III] &ndash; CMAS Strategic Initiatives</b>
</p></div><div><div>As a Software Engineer in the Customized Managed Account Solutions (CMAS) team, you will design and build software and AI capabilities, powering a new platform for customization and implementation of investment solutions. The Strategic Initiatives team is focused on building software, AI, and human solutions that meet increasingly customized and complex client needs in a scalable and integrated way. The ideal candidate for this role is interested in developing impactful solutions over pure technical problems, understanding the business and domain, and connecting with teammates and partners.
</div></div><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li><div>Architect, develop, test, and maintain software and AI systems
</div></li></ul></div><div><ul><li><div>Work with stakeholders and subject matter experts to gather and understand functional requirements, translating business needs into technical solutions
</div></li></ul></div><div><ul><li><div>Work across multiple codebases and technology stacks to deliver integrated, cross-functional solutions
</div></li></ul></div><div><ul><li><div>Collaborate with engineering peers through code reviews and knowledge sharing
</div></li></ul></div><div><ul><li><div>Operate and improve software development life-cycle processes
</div></li></ul></div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>[3+|5+] years of experience in software development
</div></li></ul></div><div><ul><li><div>Experience with AI coding techniques (what&rsquo;s in your claude.md file?)
</div></li></ul></div><div><ul><li><div>Proficient in Python, Django, Pandas, and Object-Oriented Programming principles
</div></li></ul></div><div><ul><li><div>Strong knowledge of SQL and exposure to PostgreSQL / MongoDB
</div></li></ul></div><div><ul><li><div>Working proficiency in developmental toolsets such as PyCharm, Git / BitBucket, AWS, and Jira
</div></li></ul></div><div><ul><li><div>Experience building or integrating AI-powered features into applications
</div></li></ul></div><div><ul><li><div>Clear understanding of Agile-Scrum software development lifecycle
</div></li></ul></div><div><ul><li><div>Strong communication (written and oral) and analytical problem-solving skills
</div></li></ul></div><div><ul><li><div>Strong sense of attention to detail, accountability, and pride in delivering high-quality work
</div></li></ul></div><div><ul><li><div>Ability to work collaboratively in teams to achieve organizational goals
</div></li></ul></div><div><ul><li><div>Willingness to learn new technologies and work across multiple frameworks and codebases
</div></li></ul></div></div><div><div><ul><li><div>BE/BSc degree in Computer Science, Engineering, or equivalent experience
</div></li></ul></div><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>Polyglot programming skill and affinity, and experience with various technology frameworks. A tolerance for figuring out different frameworks, not an unshakeable preference for one over another.
</div></li></ul></div><div><ul><li><div>Experience with AWS and infrastructure-as-code tools like Terraform</div></li></ul></div></div></div></div></div><div></div>

Asset Management- Lead Software Engineer, Vice President

Taktile

<div><p><b>About The Role</b></p><p>
Taktile is redefining how financial institutions use AI to make critical decisions, and we're growing fast. As an Applied AI Engineer, you'll be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space.</p><p>
If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here.</p><p><b>
What You'll Do as an Sr. Applied AI Engineer</b></p><ul><li><p><b>
Build Reusable AI Products:</b> Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers.</p></li><li><p><b>
Drive Scalable Value:</b> Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges.</p></li><li><p><b>
Product Vision and Iteration:</b> Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself.</p></li><li><p><b>
Collaborate with Core Product:</b> Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features.</p></li></ul><p><b>
About You</b></p><ul><li><p>
You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.</p></li><li><p>
You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.</p></li><li><p>
You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection.</p></li><li><p>
You write clean, maintainable Python and SQL, and have a good understanding of REST APIs.</p></li><li><p>
You excel at breaking down complex problems and abstracting them into scalable, reusable solutions.</p></li><li><p>
You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale.</p></li><li><p>
You are open to a hybrid work model and can work from our NYC office at least three days per week.</p></li></ul><p><b>
Ideal Qualifications (but not required)</b></p><ul><li><p>
You have experience in building AI applications within financial services.</p></li><li><p>
You have experience in applying and optimizing statistical and machine learning models to solve business problems.</p></li><li><p>
You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).</p></li></ul><p><b>
What We Offer</b></p><ul><li><p>
Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.</p></li><li><p>
Make an impact and meaningfully shape an early-stage company.</p></li><li><p>
Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.</p></li><li><p>
Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.</p></li><li><p>
Receive a top-of-market equity and cash compensation package.</p></li><li><p>
Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.</p></li><li><p>
Use the equipment of your choice including meaningful home office set-up.</p></li></ul><p><b>
Our Stance</b></p><ul><li><p>
We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.</p></li><li><p>
We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.</p></li></ul><p><b>
About Us</b></p><p>
Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions &mdash; like who to onboard, how to underwrite, or when to flag suspicious activity &mdash; with full visibility and control.</p><p>
By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve.</p><p>
Our mission is to build the world&rsquo;s leading platform for automated decision-making in financial services &mdash; setting the standard for how AI is applied responsibly and effectively in this industry.</p><p>
We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders.</p><p>
Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we&rsquo;re building a world-class organization across all functions and levels to power the next generation of AI-driven decision-making in financial services.</p><p>
Compensation Range: $160K - $200K</p></div>

Sr. Applied AI Engineer

<div><b>JOB DESCRIPTION</b><div><div><p><b><br>
Software Engineer III &ndash; CMAS Strategic Initiatives</b>
</p></div><div><div>As a Software Engineer in the Customized Managed Account Solutions (CMAS) team, you will design and build software and AI capabilities, powering a new platform for customization and implementation of investment solutions. The Strategic Initiatives team is focused on building software, AI, and human solutions that meet increasingly customized and complex client needs in a scalable and integrated way. The ideal candidate for this role is interested in developing impactful solutions over pure technical problems, understanding the business and domain, and connecting with teammates and partners.
</div></div><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li><div>Architect, develop, test, and maintain software and AI systems
</div></li></ul></div><div><ul><li><div>Work with stakeholders and subject matter experts to gather and understand functional requirements, translating business needs into technical solutions
</div></li></ul></div><div><ul><li><div>Work across multiple codebases and technology stacks to deliver integrated, cross-functional solutions
</div></li></ul></div><div><ul><li><div>Collaborate with engineering peers through code reviews and knowledge sharing
</div></li></ul></div><div><ul><li><div>Operate and improve software development life-cycle processes
</div></li></ul></div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>[3+|5+] years of experience in software development
</div></li></ul></div><div><ul><li><div>Experience with AI coding techniques (what&rsquo;s in your claude.md file?)
</div></li></ul></div><div><ul><li><div>Proficient in Python, Django, Pandas, and Object-Oriented Programming principles
</div></li></ul></div><div><ul><li><div>Strong knowledge of SQL and exposure to PostgreSQL / MongoDB
</div></li></ul></div><div><ul><li><div>Working proficiency in developmental toolsets such as PyCharm, Git / BitBucket, AWS, and Jira
</div></li></ul></div><div><ul><li><div>Experience building or integrating AI-powered features into applications
</div></li></ul></div><div><ul><li><div>Clear understanding of Agile-Scrum software development lifecycle
</div></li></ul></div><div><ul><li><div>Strong communication (written and oral) and analytical problem-solving skills
</div></li></ul></div><div><ul><li><div>Strong sense of attention to detail, accountability, and pride in delivering high-quality work
</div></li></ul></div><div><ul><li><div>Ability to work collaboratively in teams to achieve organizational goals
</div></li></ul></div><div><ul><li><div>Willingness to learn new technologies and work across multiple frameworks and codebases
</div></li></ul></div></div><div><div><ul><li><div>BE/BSc degree in Computer Science, Engineering, or equivalent experience
</div></li></ul></div><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>Polyglot programming skill and affinity, and experience with various technology frameworks. A tolerance for figuring out different frameworks, not an unshakeable preference for one over another.
</div></li></ul></div><div><ul><li><div>Experience with AWS and infrastructure-as-code tools like Terraform</div></li></ul></div></div></div><div></div>

Asset Management- Software Engineer III

James Search Group

<div>
 <p>
  <strong>
   AI/ML Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Global P&amp;C Insurance
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role and the company.
  </strong>
 </p>
 <p>
  James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
  <strong>
   AI/ML Engineer
  </strong>
  to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
  </li>
  <li>
   Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
  </li>
  <li>
   Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
  </li>
  <li>
   Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
  </li>
  <li>
   Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
  </li>
  <li>
   Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
  </li>
  <li>
   Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
  </li>
  <li>
   Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
  </li>
  <li>
   Familiarity with actuarial concepts or insurance-specific data models.
  </li>
  <li>
   Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
  </li>
  <li>
   Comfortable in a collaborative, fast-paced, and agile working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply today
  </strong>
  to help reshape the future of insurance through data and AI innovation.
 </p>
</div>


Machine Learning Engineer

Hex Technologies

NYC
<br>About the role
<br><br>
Hex is looking for a Product Manager to join the team and help drive the future of how teams work with data. Hex is a product-led company with a strong sales motion, so you’ll get to think deeply about product details and work with our sales team to make sure the product is successful in the market. We’re not big on titles, but this role might index to a Staff Product Manager at another company.
<br><br>
We’re looking for the next PM to move forward our analytical features: notebooks, dashboarding and our conversational AI interfaces. Our recent launches, specifically our AI features like Threads and the Notebook Agent, have driven a huge amount of momentum for the company and our next PM will help us continue that momentum.
<br><br>
What you will do
<br>Own an area of the product and be responsible for driving forward a coherent vision for that product that resonates with customers
<br>Do early discovery and help define which problems are worth solving
<br>Get deep with customers to understand their roles, what they are trying to accomplish and how to make them more impactful in their work
<br>Do competitive research, get deep in the data and analytics space and understand our Market
<br>Collaborate closely with engineering, design and GTM teams to deliver high-impact features
<br>Learn from the sales process to see what’s resonating
<br>About you
<br>7 years+ of hands-on experience as either a Product Manager, product-engaged Solutions / Sales Engineer, or customer-engaged Engineer
<br>Experience with technical products, and demonstrated ability to dive deep into complex systems
<br>We’re a growth-stage startup, so we’re looking for PMs that can ship quickly and iterate
<br>Preference for candidates with experience or strong interest in data and analytics
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This role will be hybrid (1-2 days per week in office) out of our NYC office.
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In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
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<b>The salary range for this role is:</b> $200,000 - $269,000.
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The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
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By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
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About Hex
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Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
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Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

Senior Product Manager

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