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advanced quality engineer Jobs in New York

advanced quality engineer

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ai architect hybrid

Carease Health

<div><p>Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.</p><p><b>
Role Overview</b></p><p>
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.</p><p><b>
What You Will Do</b></p><ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul><p><b>
What We Are Looking For</b></p><ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul><p><b>
Nice to Have</b></p><ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul><p><b>
Why Join Carease Health</b></p><ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul><p></p><p><br>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

AI Architect Hybrid

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers?<br>
<br>
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally.<br>
<br>
Key job responsibilities<br>
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)<br>
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment<br>
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions<br>
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns<br>
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns<br>
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases<br>
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture<br>
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps<br>
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks<br>
Support partner competency development and certification in AI/ML and data analytics domains<br>
<br>
A day in the life<br>
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.<br>
<br>
About the team<br>
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics).</li><li>2+ years of technology/software sales experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with data architecture, AI/ML solution design, or related technical roles</li><li>Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms</li><li>AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)</li><li>Experience in a customer-facing role such as solutions architect, technical consultant, or professional services</li><li>Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale</li><li>Experience with Agentic AI Solution Framework including:</li><li>Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)</li><li>Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK</li><li>Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)</li><li>Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)</li><li>Memory management strategies (short-term/long-term memory, session state, context management)</li><li>Tool integration and API orchestration for autonomous agent systems</li><li>Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)</li><li>Security, governance, and observability frameworks for production agent systems</li><li>Container-based agent deployment on Amazon EKS/ECS</li><li>Autonomous decision-making, contextual reasoning, and goal-oriented agent design</li><li>Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)</li><li>Experience with generative AI, large language models, RAG architectures, and agentic AI systems</li><li>Experience architecting production-grade MLOps pipelines and data governance frameworks</li><li>Background in partner enablement, technical training, or thought leadership</li><li>Experience working with consulting partners, systems integrators, or technology partners</li><li>Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics</li><li>Strong business acumen with ability to connect technical solutions to business outcomes</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually</div><p></p>

Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div> <div>GEN AI &amp; AGENTIC AI build &amp; Implementation experience
</div><ul><li>Hands-on experience with LLMs and RAG architectures
</li></ul><ul><li>Experience with vector databases and semantic search
</li></ul><ul><li>Practical understanding of prompt engineering and evaluation
</li></ul><ul><li>Hands-on experience building agentic or multi-step AI workflows (not just prompting)
</li></ul><ul><li>Experience with orchestration frameworks and tool calling
</li></ul><ul><li>Understanding of AI safety, guardrails, and reliability patterns
</li></ul><ul><li>Ability to operationalize AI agents at enterprise scale
</li></ul><div>Roles &amp; Responsibilities
</div> <ul><li>Build end-to-end GenAI applications using LLMs (text, documents, Q&amp;A, summarization, extraction)
</li></ul><ul><li>Implement RAG pipelines: data ingestion, chunking, embeddings, vector search, and grounded responses
</li></ul><ul><li>Develop APIs and microservices to integrate GenAI solutions with enterprise systems
</li></ul><ul><li>Implement structured outputs, function calling, and prompt frameworks
</li></ul><ul><li>Support evaluation, testing, monitoring, and continuous improvement of GenAI solutions
</li></ul><ul><li>Collaborate closely with the GenAI Architect and Agentic AI Engineers
</li></ul><ul><li>Design and implement agentic AI workflows (planning execution observation iteration)
</li></ul><ul><li>Build tool-using AI agents integrated with APIs, data sources, and enterprise systems
</li></ul><ul><li>Implement multi-agent or orchestrated agent architectures where required
</li></ul><ul><li>Combine Agentic AI with RAG for grounded, enterprise-safe responses
</li></ul><ul><li>Implement guardrails, safety checks, and evaluation mechanisms
</li></ul><ul><li>Debug, optimize, and operationalize agentic workflows in production</li></ul><div></div><div><br>
</div>
<div></div><br>
<br>
<div>Salary Range: $130,000 to $170,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>406637</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$130,000-$170,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

GEN AI and AGENTIC AI Engineer

Asana

<div>
 The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana&rsquo;s marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design.
 <br/>
 <br/>
 This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
 <br/>
 <br/>
 <strong>
  What you&rsquo;ll achieve:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines.
  </li>
  <li>
   Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability.
  </li>
  <li>
   Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach.
  </li>
  <li>
   Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops.
  </li>
  <li>
   Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably.
  </li>
  <li>
   Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation.
  </li>
  <li>
   Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience
  </li>
  <li>
   6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects
  </li>
  <li>
   4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift)
  </li>
  <li>
   Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness
  </li>
  <li>
   Proven track record developing, deploying, and maintaining scalable production ML solutions and data products
  </li>
  <li>
   Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus
  </li>
  <li>
   Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we&rsquo;ll offer:
  <br/>
  <br/>
 </strong>
 Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
 <br/>
 <br/>
 For this role, the estimated base salary range is between $202,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
 <br/>
 <br/>
 In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 <br/>
 <br/>
 We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
 <br/>
 <br/>
 <ul>
  <li>
   Mental health, wellness &amp; fitness benefits
  </li>
  <li>
   Career coaching &amp; support
  </li>
  <li>
   Inclusive family building benefits
  </li>
  <li>
   Long-term savings or retirement plans
  </li>
  <li>
   In-office culinary options to cater to your dietary preferences
   <br/>
   <br/>
  </li>
 </ul>
 These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
 <br/>
 <br/>
 <strong>
  Join Asana&rsquo;s Talent Network
 </strong>
 to stay up to date on job opportunities and life at Asana.
 <br/>
 <br/>
</div>


Staff Data Scientist, Marketing

Metrics Recruitment

<div>
 <p>
  Metrics Recruitment is partnering with an investment firm managing over
  <strong>
   $500M
  </strong>
  across multiple funds, focused on the frontier of the crypto ecosystem. We are seeking a
  <strong>
   Software Engineer
  </strong>
  to build cutting-edge proprietary AI agents and data infrastructure from the ground up.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll work directly with the founding team to build high-performance systems that automate research and synthesize investment intelligence. This role is for engineers who thrive on deep technical ownership and building in high-ambiguity environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and scale proprietary agents to automate research and decision-support tasks.
  </li>
  <li>
   Maintain portfolio tracking tools and critical operational infrastructure.
  </li>
  <li>
   Architect pipelines to turn raw datasets (real-time financial data, trading, social media, news) into actionable insights.
  </li>
  <li>
   Own projects from initial design through production deployment and monitoring.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   2&ndash;5+ years building and maintaining production-grade systems.
  </li>
  <li>
   Proficiency in
   <strong>
    Python
   </strong>
   or
   <strong>
    TypeScript
   </strong>
   .
  </li>
  <li>
   Hands-on experience using
   <strong>
    AI coding tools
   </strong>
   (Cursor, Claude) to ship faster.
  </li>
  <li>
   Ability to operate independently and solve complex problems across the stack.
  </li>
  <li>
   Willing to work in the
   <strong>
    Union Square (NYC)
   </strong>
   office 4 days per week.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Prior experience in startups, fintech, or crypto-native environments.
  </li>
  <li>
   Knowledge of data science or complex data engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  Competitive Base + Performance Bonus + Benefits
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Union Square, New York, NY
 </p>
</div>


Software Engineer

GEI Consultants

<div><p><b>Description</b><br>
</p><br>
<b>Your role at GEI.</b><br>
<br>
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI&rsquo;s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.<br>
<br>
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.<br>
<br>
<b>Essential Responsibilities &amp; Duties</b><br>
<ul><li>
Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.</li><li>
Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.</li><li>
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.</li><li>
Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.</li><li>
Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.</li><li>
Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.</li><li>
Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.</li><li>
Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.</li><li>
Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.</li></ul><br>
<b>
Minimum Qualifications</b><br>
<ul><li>
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.</li><li>
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.</li><li>
Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.</li><li>
Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.</li><li>
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.</li><li>
Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.</li><li>
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).</li><li>
Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.</li><li>
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.</li><li>
Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.</li><li>
Prior experience in professional services, engineering, or construction environments is a plus.</li><li>
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.</li></ul><br>
<b>
We are GEI.</b><br>
<br>
Some of the world&rsquo;s most pressing problems &ndash; from climate change to sustainable development, to critical infrastructure and the future of our energy supply &ndash; need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.<br>
<br>
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients&rsquo; most complex challenges.<br>
<br>
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.<br>
<br>
<b>Employee-owned. Employee-focused.</b><br>
<br>
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs &ndash; we are Client-Centered, Curious, Collaborative, and Community Minded &ndash; which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI&rsquo;s career site here.<br>
<br>
<b>GEI&rsquo;s Total Rewards Package Includes</b><ul><li>
Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus</li><li>
Pay Range For This Position: $90,000.00 &ndash; $150,000.00/year</li><li>
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More</li><li>
Well-Being Program and Paid Parental Leave</li><li>
Commuter Benefits</li><li>
Hybrid Work Schedules and Cell Phone Stipends</li><li>
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement</li><li>
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement</li><li>
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses</li><li>
Paid Holidays and Generous Paid Time Off Program</li><li>
Rewards and Recognition</li><li>
GEI-Funded Profit Sharing and 401(k)</li><li>
Opportunity to be an Owner and Shareholder (Learn more here)</li><li>
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion</li><li>
And More&hellip;</li></ul><br>
<b>
PHYSICAL REQUIREMENTS</b><div><div><div><div><div><div><br>
WORK ENVIRONMENT</div><div></div><div><br>
</div></div><div></div><br>
<br>
<div><div><br>
Functional Demands:</div><div></div><div><br>
</div></div><br>
<div><div><br>
</div><div></div><br>
<div><br>
Sedentary</div><div><br>
x</div><div><br>
Light</div><div><br>
</div><div><br>
Medium</div><div></div><div><br>
Other</div></div><div></div><div><div><b><br>
</b><br>
<b>Activity Level Throughout Workday </b><i>(check one per row)</i></div></div><br>
<div><div><br>
<b>
Physical Activity Requirements</b></div><div><br>
<b>Occasional</b><br>
<b>(0-35% of day)</b></div><div><br>
<b>Frequent</b><br>
<b>(33-66% of day)</b></div><div><br>
<b>Continuous</b><br>
<b>(67-100% of day)</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Sitting</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Standing</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Walking</div><div><br>
x</div></div><div></div><div><div><br>
Climbing</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Lifting (floor to waist level) <i>(in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Lifting (waist level and above)<i> (in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Carrying objects</div><div><br>
x</div></div><div></div><div><div><br>
Push/pull</div><div><br>
x</div></div><div></div><div><div><br>
Twisting</div><div><br>
x</div></div><div></div><div><div><br>
Bending</div><div><br>
x</div></div><div></div><div><div><br>
Reaching forward</div><div><br>
x</div></div><div></div><div><div><br>
Reaching overhead</div><div><br>
x</div></div><div></div><div><div><br>
Squat/kneel/crawl</div><div><br>
x</div></div><div></div><div><div><br>
Wrist position deviation</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Pinching/fine motor skills</div><div><br>
x</div></div><div></div><div><div><br>
Keyboard use/repetitive motion</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Taste or smell (taste=never)</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Talk or hear</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><b><br>
Accurate 20/40</b></div><div><br>
<b>Very Accurate 20/20</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Near Vision</div><div><br>
</div><div><br>
x</div></div><br>
<div></div><div><div><br>
Far Vision</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
<b>
Yes</b></div><div><br>
<b>No</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Color Discrimination</div></div><div></div><div><div><b><br>
Sensory Requirements</b></div><div><br>
<b>Minimal</b></div><div><br>
<b>Moderate</b></div><div><br>
<b>Accurate</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Depth perception</div><div></div><div><br>
x</div></div><div></div><div><div><br>
Hearing</div><div></div><div><br>
</div><div><br>
x</div></div></div><div></div><b><br>
</b><br>
<b>Environment Requirements</b><div><div><div><div><br>
<b>
Occupational Exposure Risk Potential</b></div><div><br>
<b>Reasonably Anticipated</b></div><div><br>
<b>Not Anticipated</b></div></div><br>
</div><div><div><div><br>
Blood borne pathogens</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Chemical</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Airborne communicable diseases</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Extreme temperatures</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Radiation</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Uneven surfaces or elevations</div><div><br>
x</div></div><div></div><div><div><br>
Extreme noise levels</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Dust/particulate matter</div><div><br>
x</div></div></div></div><div></div><div><div><br>
<b>
Other (exposure risks):</b></div></div><div></div><div><div><br>
<b>
Usual workday hours</b>:</div><div><br>
x</div><div><br>
8</div><div><br>
</div><div><br>
10</div><div><br>
</div><div><br>
12</div><div></div><div><br>
Other work hours</div></div></div></div></div><br>
<div></div>
<i>
GEI is an AA/equal opportunity employer, including disabled and veterans.</i></div>

Data Engineer

Oscar Health

<div><p>Hi, we're Oscar. We're hiring a Senior Director, Product Marketing &amp; Growth Enablement to join our Marketing team.</p>
<p>
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.</p><br>
<p></p>
<p><b>
About the role:</b></p>
<p>
The Senior Director of Product Marketing &amp; Growth Enablement is a visionary leader who is responsible for building and leading a high-impact team. You will be the architect of our Go-To-Market strategy, sitting at the nexus of Product, Sales, and Marketing. Your mission is to ensure our sales and market teams are equipped with the story, the tools, and the localized strategy needed to win in a competitive landscape.</p>
<p>
You will report into the Vice President, Insurance Marketing.</p>
<p><b>
Work Location:
</b></p><p>This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid</p>
<p><b>
Pay Transparency:
</b></p><p>The base pay for this role is: $218,592.00 - $286,902.00 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Recruit, hire, and mentor a world-class team of product marketers, enablement managers, and field marketing specialists.</li>
<li>Lead the creation of core messaging frameworks and value propositions; ensuring consistency while adapting for regional or market-based nuances (e.g., specific state regulations or localized broker networks).</li>
<li>Act as the primary strategic bridge and product SME between the business and the Marketing organization. You will represent the &quot;product story&quot; to cross-functional leaders to ensure their strategies are aligned with product reality, while simultaneously quarterbacking the GTM engine within Marketing to ensure Brand, Digital, and Demand Gen efforts are perfectly synchronized with product launches and market-specific goals.</li>
<li>Partner with Product and Member Experience to build systematic feedback loops for employers, brokers, and members to ensure that the product's evolution matches the market's true needs.</li>
<li>Partner directly with the VP of Sales, SVP of Markets, and SVPs of Product (Technology and Plan Design) to align product roadmaps with buyer personas and sales targets.</li>
<li>Act as the primary strategic partner to the Sales and Markets leadership teams, ensuring marketing programs directly support market goals, account-based marketing (ABM) efforts, and revenue targets.</li>
<li>Collaborate with Brand, Lifecycle Marketing, and Market Leaders to localize messaging and ensure field teams are equipped with the right tools and content to win.</li>
<li>Partner with Community Activation, Sales, &amp; Market Leadership to identify local sponsorship and promotional opportunities.</li>
<li>Develop and lead the end-to-end regional marketing plan, aligning local field activities with national-scale persona-based B2B and B2C marketing programs to drive pipeline growth and market penetration.</li>
<li>Transform competitive analysis into actionable &quot;battlecards&quot; and proactive strategy shifts that maintain market leadership.</li>
<li>Identify friction points in the sales cycles (commercial and direct to consumer) and craft comprehensive enablement programs. This includes deploying modern sales tools, high-velocity playbooks, and localized field campaigns. Crucially, you will lead the training and certification of all externally facing teams, ensuring they are not only equipped with collateral but are personally proficient in articulating the story accurately and successfully in the field.</li>
<li>Compliance with all applicable laws and regulations.</li>
<li>Other duties as assigned.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>12+ years of experience in Product Marketing, Enablement, or GTM Strategy (Health tech, fintech, and/or highly regulated industries preferred).</li>
<li>Proven experience building a department from the ground up or merging disparate teams into a cohesive unit.</li>
<li>Ability to take complex technical and plan design features in a highly regulated environment and translate them into value-based narratives.</li>
<li>Expert at designing and leading high-stakes Voice of Customer sessions (Advisory Boards, Focus Groups) and standardizing Sales Training &amp; Certification programs.</li>
<li>Proficiency in identifying, deploying, and optimizing the right technology and tools needed to measure the impact of enablement and marketing spend on the sales pipeline.</li></ul><p></p><div><p><br>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.</p>
<p>
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.</p>
<p><b>
Pay Transparency: </b>Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.</p>
<p><b>
Artificial Intelligence (AI): </b>Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.</p>
<p><b>
Reasonable Accommodation: </b>Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.</p>
<p><b>
California Residents:</b> For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</p></div></div>

Senior Director, Product Marketing & Growth Enablement

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