principal coordinator, support operations

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advanced quality engineer

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applications engineer - robotics / weld tooling Jobs in New York

assistant deputy director - crew management workforce Jobs in New York

head of engineering core product collaborative work management

Asana

<div>
 Asana is seeking an experienced engineering leader to own and scale the foundational experiences of our Core product, the heart of our collaborative work management platform. In this era of intelligent automation, you will lead the teams responsible for the essential features millions of users rely on daily, while reimagining the core Asana experience through the lens of AI-native workflows.
 
 
 This role sits within our Product Engineering Group and reports directly to the CTO. You will be responsible for building the systems that enable seamless collaboration at scale, ensuring Asana remains the most intuitive platform for teams by leveraging AI to reduce "work about work" and accelerate human productivity.
 
 
 This role is based in our New York 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.
 
 
 
 What you&rsquo;ll achieve:
 
 
 
 <ul>
 <li>
 Lead the Core Product/CWM engineering organization as we scale to support complex workflows, balancing powerful functionality with AI-driven simplicity that keeps the user experience effortless.
 </li>
 <li>
 Own the technical strategy for Asana&rsquo;s central work management features (tasks, projects, portfolios), ensuring our architecture is optimized to support LLM-powered features, real-time data processing, and predictive work patterns.
 </li>
 <li>
 Partner with Product and Design to define the future of AI-assisted collaboration, evolving our platform from a system of record to a system of intelligence that proactively helps teams organize and prioritize.
 </li>
 <li>
 Build "AI-first" platform capabilities that allow other teams to leverage our core work graph, providing the robust APIs and data structures necessary to power intelligent agents, automated status reporting, and smart resource allocation.
 </li>
 <li>
 Drive engineering excellence in AI implementation, establishing best practices for prompt engineering, model integration, and data privacy within the core product lifecycle.
 </li>
 <li>
 Grow engineering leaders by mentoring managers and engineers to think beyond traditional CRUD applications toward generative and agentic product architectures.
 </li>
 <li>
 Represent Asana&rsquo;s intelligent CWM capabilities to strategic customers, demonstrating how our core platform uses AI to solve their most complex coordination challenges.
 
 
 </li>
 </ul>
 
 About you:
 
 
 
 <ul>
 <li>
 10+ years of engineering experience with 5+ years leading teams, with a track record of shipping high-impact products and a forward-thinking approach to integrating AI/ML into user-facing applications.
 </li>
 <li>
 Deep understanding of collaborative software and distributed systems, with specific interest or experience in how AI can optimize complex data relationships and work graphs.
 </li>
 <li>
 A passion for AI-native user-centric design, understanding how to use Large Language Models (LLMs) to enhance&mdash;rather than complicate&mdash;the user&rsquo;s daily workflow.
 </li>
 <li>
 Strong technical perspective on the modern AI stack, including experience or familiarity with integrating third-party models (OpenAI, Anthropic) or internal ML services into a production environment.
 </li>
 <li>
 Hands on experience building with AI Tooling. We would love to see your github!
 </li>
 <li>
 Excellent communication skills, with the ability to bridge the gap between deep technical AI infrastructure and the tangible business value it provides to our customers.
 
 
 </li>
 </ul>
 At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
 
 
 
 What We&rsquo;ll Offer
 
 
 
 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.
 
 
 For this role, the estimated base salary range is between $399,000 - $470,000. 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.
 
 
 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 recruiter to learn more about the total compensation and benefits for this role.
 
 
 We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
 
 
 <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
 
 
 </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 recruiter to learn more about the total compensation and benefits for this role.
 
 
 
 About Us
 
 
 
 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.
 
 
 
 Join Asana&rsquo;s Talent Network
 
 to stay up to date on job opportunities and life at Asana.
 
 
</div>

Head of Engineering, Core Product & Collaborative Work Management

Grown Alchemist

Location: New York, NY | Hybrid | Reports to: SVP, Sales Overview: The Wholesale Operations Coordinator for North America will ensure a seamless and effective partnership with our National Retailer Accounts. You&rsquo;ll be responsible for managing the allocation, processing, and shipping of orders in alignment with customer requirements and cancellation dates. The ideal candidate is a strong business partner with experience in wholesale order management, collaborating with both Retailers and 3PLs, and fostering positive relationships to drive results-oriented partnerships.Core Responsibilities: Order Management and Shipments - US and Canada<ul><li>Review and analyze both EDI and non-EDI purchase orders to ensure accuracy, verify stock availability, and collaborate with Retailer teams for necessary corrections prior to transmission.</li><li>Process assembly orders in the 3PL system, including the coordination of retailer ticketing requirements.</li><li>Manage non-EDI ASN processing and shipment requests through external retailer portals.</li><li>Conduct daily reviews of unshipped orders, prioritizing shipments for US and Canadian PO&rsquo;s to meet retailer guidelines and delivery deadlines.</li><li>Investigate freight penalties and chargebacks, assess their validity, identify root causes, and escalate disputes to management as necessary.</li><li>Maintain and update daily order processing logs to track customer PO submissions, shipments, and payment status.</li><li>Ensure timely and clear communication with Retailers regarding PO shipments, required extensions, stock-outs, and any amendments, ensuring proper reflection in both PO and 3PL systems.</li><li>Work with the Global team to cover vacation and personal time off in rotating fashion with other markets.</li></ul>Retailer and Product Set-up Management<ul><li>Update product catalogs (GXS and Intertrade) with new product information.</li><li>Prepare and submit new line forms (both Excel and portal-based) for new products, amendments to existing products, and price changes, ensuring compliance with internal policies and retailer timelines.</li><li>Review and analyze retailer routing guides, compliance documentation, and specific requirements to ensure alignment with the brand&rsquo;s processes and retailer expectations.</li><li>Identify and address any gaps in compliance, ensuring full adherence to guidelines related to packaging, labeling, shipping, and invoicing.</li><li>Manage and maintain an up-to-date list of all retailers, including key attributes such as sales channels, vendor number, margin, freight accounts, compliance exemptions, and routing guides.</li></ul>Product Allocations<ul><li>Collaborate with the Head of Operations and Head of Key Accounts to ensure that forecasts from key retailers are received post-market and accurately updated.</li><li>Ensure that purchase orders (POs) for new releases are received prior to the ATS (Available to Ship) date and alignment with the forecast. Work closely with Head of Key Accounts to address any product availability issues if overallocations occur.</li></ul>Candidate Profile:<ul><li>Exceptional customer service skills, with a positive attitude</li><li>Ability to work cross functionally with other departments</li><li>Strong analytical abilities and a keen problem-solving mindset.</li><li>Excellent organizational and planning skills, with the ability to effectively prioritize tasks.</li><li>Self-motivated, goal-oriented, and driven by a strong work ethic.</li><li>Excellent written and verbal communication skills.</li><li>High attention to detail and commitment to accuracy.</li><li>Strong team player with a collaborative approach to achieving shared goals.</li></ul>Key Qualifications:<ul><li>Experience in beauty a plus</li><li>2+ years in sales/wholesale operations or customer service capacity</li><li>Understanding of EDI transactions</li><li>Proficient in analyzing and interpreting vendor manuals and routing guides.</li><li>Proficiency in Microsoft Excel.</li></ul>Compensation and Benefits:<ul><li>Comprehensive PTO including holidays and Summer Fridays.</li><li>Hybrid work schedule.</li><li>Medical, dental, and vision coverage.</li><li>401(k) with a company match.</li><li>Salary range: $66,500 - $75,000</li></ul>About Grown Alchemist:GROWN ALCHEMIST was born from the belief that skin health + wellness is holistic, impacted by the world around us. Our solution; high-performance, clinically proven formulations and services using advanced plant and bio-tech ingredients. Working with your skin biology inside + out. Better absorbed, better utilized, better results - creating optimum conditions for you + your skin to thrive. The Alchemy of Total Skin Health. Plant Powered. Science Boosted. Grown Alchemist is an equal opportunities employer. This means that, when making decisions about our employees&rsquo; careers with us, our main considerations are their ability to do their jobs and develop in their roles. One way we cultivate change is by creating a more diverse and inclusive workplace and organizational culture. As part of this, we are committed to building an environment that is free from discrimination and harassment, where everyone feels respected and valued. We recruit positive minded people who share our core values and our commitment to sustainability.Pay: $66,500.00 - $75,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>People with a criminal record are encouraged to applyAbility to Commute:<ul><li>New York, NY 10001 (Required)</li></ul>Work Location: Hybrid remote in New York, NY 10001

Wholesale Operations Coordinator

Mirage

<div>
 Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone.
 
 
 We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.
 
 
 
 More About Us
 
 
 
 Product (Captions by Mirage)
 
 
 Research (Seeing Voices, technical-white-paper)
 
 
 Updates (Mirage on X / twitter)
 
 
 TechCrunch, Forbes AI 50, Fast Company (press)
 
 
 
 Our Investors
 
 
 
 We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including
 
 Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz,
 
 
 General Catalyst
 
 , Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
 
 
 
 Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
 
 
 
 
 Note to applicants:
 
 We review every application carefully. Please apply through the official posting only and refrain from reaching out to employees directly, as it won&rsquo;t impact your candidacy.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring exceptional new grad engineers to join Mirage across product engineering, backend / platform engineering, and applied AI teams. You&rsquo;ll have the opportunity to work closely with a small, highly collaborative team that&rsquo;s building at the frontier of generative media and agentic systems.
 
 
 We prioritize hiring uniquely talented, entrepreneurial, and high-agency engineers first&mdash;because engineering at Mirage isn&rsquo;t narrowly defined. We work across different archetypes, and most of us span more than one, giving you the opportunity to explore and choose your path from the following areas:
 
 
 
 Backend / Platform Engineering
 
 
 
 <ul>
 <li>
 Design and build the systems, APIs, and infrastructure that power our products
 </li>
 <li>
 Solve challenges in distributed systems, scaling, and performance
 </li>
 <li>
 Integrate and operate large AI models in production
 </li>
 <li>
 Build core platform pieces: storage, billing, observability, security
 
 
 </li>
 </ul>
 
 Product Engineering (iOS or Web Product)
 
 
 
 <ul>
 <li>
 Ship end-to-end product experiences for creative workflows
 </li>
 <li>
 Build highly polished, performant user interfaces (web or native mobile)
 </li>
 <li>
 Push the boundaries of video, graphics, and AI-powered creation tools
 </li>
 <li>
 Instrument, A/B test, and iterate quickly with real user data
 
 
 </li>
 </ul>
 
 Applied AI Engineering
 
 
 
 <ul>
 <li>
 Build and ship AI-powered product experiences end-to-end
 </li>
 <li>
 Work with state-of-the-art models across video, audio, image, and text
 </li>
 <li>
 Design systems for context, reasoning, and intelligent behavior
 </li>
 <li>
 Build evals, datasets, and tooling for improving model quality
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Evidence of exceptional ability: prestigious or highly selective internships, significant personal projects (apps, systems, open source, etc.), startup or founder experience (even in college)
 </li>
 <li>
 Strong computer science fundamentals (algorithms, data-structures, etc.)
 </li>
 <li>
 Degree in Computer Science or a closely related field (top programs preferred)
 </li>
 <li>
 You are deeply interested in AI, and actively use AI coding tools
 </li>
 <li>
 You have strong product and engineering taste, and care deeply about craft, speed, and quality.
 </li>
 <li>
 You are grounded, collaborative, and will do whatever it takes to help the team win.
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 Comprehensive medical, dental, and vision plans
 </li>
 <li>
 401K with employer match
 </li>
 <li>
 Commuter Benefits
 </li>
 <li>
 Catered lunch multiple days per week
 </li>
 <li>
 Dinner stipend every night if you're working late and want a bite!
 </li>
 <li>
 Grubhub subscription
 </li>
 <li>
 Health &amp; Wellness Perks
 </li>
 <li>
 Multiple team offsites per year with team events every month
 </li>
 <li>
 Generous PTO policy
 
 
 </li>
 </ul>
 Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 
 Please note benefits apply to full time employees only.
 
 
 
 Compensation Range: $160K - $165K
 
 
</div>

Software Engineer, Early Career

BlackRock

<div><div><div><div><div>Locations: New York, New York</div></div></div></div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
Aladdin is BlackRock&rsquo;s unified technology and data platform used by BlackRock and many of the world&rsquo;s largest Asset Managers and Investors. The Aladdin Platform Engineering organization is the Engineering Pillar within Aladdin responsible for building and operating the technology platform that powers Aladdin and includes the Developer Platform, the Core Platform and the Control Platform. Within Aladdin Platform Engineering, we are looking to bring on a senior technology leader to be the Head of AI Developer Platform.
Responsibilities
1. Own AI Native SDLC &amp; Engineering Productivity<ul><li>
Define and operationalize an AIfirst, agent driven SDLC embedded into the Developer Platform, spanning design, build, test, release, and operate phases, including:<ul><li>
Agent assisted design, code generation, refactoring, and documentation</li><li>
Agent driven test generation, coverage analysis, defect intelligence, and built-in quality and resilience signals</li><li>
Intelligent release validation, change risk assessment, and deployment readiness</li><li>
Continuous functional, integration, regression, performance, and resilience testing orchestrated as first-class SDLC stages rather than post hoc controls</li><li>
Continuous learning loops that improve software, delivery workflows, and AI agents over time</li></ul></li><li>
AI Vendor, Tooling &amp; Platform Integration<ul><li>
Drive evaluation, selection, and governance of AI developer tools and vendors integrated into the AI Developer Platform, ensuring capabilities are secure, production grade, and aligned to Aladdin&rsquo;s architecture, risk posture, and engineering standards.</li><li>
Ensure AI tools are platform integrated rather than point solutions, delivered through standardized onboarding, quality gates, observability, lifecycle management, and Responsible AI controls in partnership with Risk, Security, Legal, and Architecture.</li></ul></li><li>
Lead adoption of PDLC agents delivered through the Developer Platform, aligned to core engineering personas and architecture/design principles:<ul><li>
Developers:</li><li>
Testers / QE:</li><li>
Operators / SREs:</li><li>
Ensure quality, resilience, and risk prevention are embedded as default behaviors within PDLC agents, rather than treated as separate processes or late-stage controls.</li></ul></li></ul>
2. Own the evolution of continuous validation capabilities across the SDLC, including:<ul><li>
Performance, load, spike, and concurrency testing integrated into CI/CD pipelines</li><li>
Chaos engineering and fault injection experiments executed in preproduction environments</li><li>
Game Day testing and operational readiness simulations to validate incident response, observability, and recovery paths</li><li>
Establish clear skill expectations and enablement paths for developers, testers, and operators working in an AI augmented delivery model,</li></ul>
3. AI Developer Platform Context Engineering &amp; Enablement<ul><li>
Own the workforce enablement and distribution layer for the Developer Platform (through IDEs), ensuring AI capabilities and PDLC agents are delivered as secure, reusable, composable platform services within Engineering Services rather than fragmented tools.</li><li>
Lead context engineering and context graph strategy for the Developer Platform, including:<ul><li>
Defining and evolving enterprise context graphs
</li><li>Ensuring AI agents and PDLC agents have governed access to the right context at the right time, with controlled blast radius</li></ul></li><li>
Driving reuse of context primitives across SDLC, agent-based validation, and operational workflows</li></ul>
4. Own platform level capabilities for test data and environment management, including:<ul><li>
Production aligned preproduction environments that enable reliable end-to-end validation</li><li>
Repeatable, governed test data strategies (refresh, reset/replay, synthetic data) that support functional, performance, and resilience testing</li><li>
Pre-Prod Environment stability, drift detection, and telemetry-based health signals as inputs to release decisions</li></ul><ul><li>
Be a Champion and Lead governance for context ownership, freshness, versioning, and reuse to prevent drift and repeated failures at scale.</li></ul>
5. Engineering Excellence, Culture &amp; Leadership<ul><li>
Build and lead a high-performance, globally distributed AI Developer Platform organization within Engineering Services.</li><li>
Evangelize AI native, agent driven delivery practices across Aladdin while balancing innovation, operational stability, and risk discipline.</li></ul>
7. Governance, Risk &amp; Responsible AI<ul><li>
Own policy, governance, and control frameworks for AI usage and PDLC agents within the Developer Platform, ensuring alignment with firmwide risk, compliance, and Responsible AI standards.</li><li>
Own and mitigate technology and AI related risks for the Developer Platform, representing Engineering Services in risk and control governance forums.</li></ul>
8. Collaboration &amp; Enterprise Impact<ul><li>
Work closely with business leaders, product managers, domain architects, and delivery teams to translate business requirements into scalable, secure AI Developer Platform and PDLC agent capabilities.</li><li>
Collaborate with Platform Engineering, Product Engineering, Product leadership to ensure the Developer Platform meets the growth demands of Aladdin&rsquo;s clients and partners.</li></ul>
For New York, NY Only the salary range for this position is USD$275,000.00 - USD$350,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits 
 
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.<div>
For additional information on BlackRock, please visit @blackrock<div>
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 | Twitter: @blackrock<div>
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 | LinkedIn: www.linkedin.com/company/blackrock<div>
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BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC&rsquo;s Know Your Rights poster and its supplement<div>
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 and the pay transparency statement<div>
(opens in new window)</div>
.</div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
(opens in new window)</div>
. All requests are treated in line with our privacy policy<div>
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.<div>
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BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div>Job Requisition #
 
R261411</div></div></div>

Head of AI Developer Platform

Bandit Running

<div>Bandit Running is a pioneering technical performance brand committed to creating innovative, high-quality apparel &amp; gear for goal-driven runners. Our mission to &ldquo;Evolve Running&rdquo; guides everything we do, always putting the needs of the global running community first. As the fastest-growing brand in the sport, we challenge conventional brand-building norms, prioritizing an extremely high-bar for disruptive excellence across product, experiences &amp; content. Our vision is to build an enduring, iconic brand that breaks down barriers &amp; inspires greater passion &amp; participation in the sport we love.
We are seeking a Senior Data Engineer / Analytics Engineer (Contract) to help architect and build the next generation of our backend data systems. This role will partner closely with our Head of Data to design and implement an analytics foundation that powers new models, analyses, KPIs, and AI-driven workflows across the company.
This is a hands-on builder role. You&rsquo;ll be responsible for building reliable, recurring data pipelines, transforming raw data into durable analytical models, and helping shape how Bandit structures data for long-term scalability, including AI-first consumption. 
Requirements 
 
Responsibilities:<ul><li>
Collaborate on and help define Bandit&rsquo;s data architecture, tooling choices, and long-term data strategy.</li><li>
Execute on that strategy by building reliable ELT pipelines into Snowflake using Airbyte out-of-the-box &amp; custom connectors</li><li>
Transform raw source data into clean, well-modeled analytical tables using dbt</li><li>
Translate business context to create enriched data stores from new source tables</li><li>
Build context and semantic layers on top of new data sources to enable self-serve analytics and agentic / AI-driven use cases.</li></ul>
What we&rsquo;re looking for:<ul><li>
5+ years experience in data engineering or analytics engineering roles</li><li>
Expert SQL skills; comfortable modeling complex business logic</li><li>
Experience and opinions on data architecture decisions, tradeoffs, and tooling</li><li>
Good translator of business operations / problems into data schematics</li><li>
AI-oriented data builder</li><li>
Experience working in Snowflake, dbt, data ingestion tools (i.e Airbyte) and Airflow</li></ul> 
Success in this role looks like shipping durable, well-modeled datasets that become the default foundation for analytics, operations and AI-driven workflows across Bandit. 
Benefits 
<ul><li>
Fully Remote</li><li>
~20 hours / week, 12-16 week contract</li><li>
Flexible hours (must be available to meet virtually 1 day / week)</li><li>
$100-150 / hour (depending on location and years of experience)</li></ul> 
At Bandit, we&rsquo;re building an incredible culture rooted in our three core values&mdash;Trust, Empathy, &amp; Excellence. We believe that in order to build the best team, our baseline is an environment where everyone can bring their full &amp; authentic selves to the table. We are committed to fair hiring practices where we hire team members for their potential &amp; advocate for diversity, equity, &amp; inclusion. We do not discriminate based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class.</div>

Senior Data Engineer (Contract Position)

Enigma

<div><h3 class="jobSectionHeader">The Opportunity</h3>

This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it.

We are looking for an experienced Senior Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma's customer-facing data products.

In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery.
<h3 class="jobSectionHeader">
The Role</h3>

At the core of Enigma's product is our data, which makes both data science and delivery systems central to what we build.

As a Senior ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You'll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems.

This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems.
<h3 class="jobSectionHeader">
What You'll Do</h3>
<ul><li>Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems</li>
<li>Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS</li>
<li>Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs</li>
<li>Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery</li>
<li>Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals</li>
<li>Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting</li>
<li>Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause</li>
<li>Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability</li>
<li>Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence</li>
</ul><h3 class="jobSectionHeader">What Makes This Role Exciting?</h3>
<ul><li>Impact: At Enigma, data science and machine learning aren't just used to make product decisions; they are the product. Your work will directly shape how customers find, explore, and trust our data.</li>
<li>Technical Challenge: This role spans some of the hardest challenges in search relevance, large-scale retrieval systems, ranking models, APIs, and distributed systems. If you like a technical challenge, this role is for you.</li>
<li>Ownership: You'll have meaningful autonomy to shape both research direction and the production systems that power it, including having a strong voice in our tooling and vendor ecosystem.</li>
<li>Customer Proximity: Your work will directly influence how sophisticated customers integrate Enigma data into critical workflows and decision-making systems.</li>
</ul><h3 class="jobSectionHeader">Our Ideal Candidate</h3>
<ul><li>Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems</li>
<li>Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)</li>
<li>Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.</li>
<li>Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms</li>
<li>Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit</li>
<li>Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences</li>
<li>Thrives in highly collaborative environments with strong ownership and fast iteration cycles</li>
<li>Has an advanced degree in a quantitative discipline or equivalent deep industry experience</li>
</ul><h3 class="jobSectionHeader">Bonus Points If You</h3>
<ul><li>Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)</li>
<li>Have built customer-facing search or recommendation systems or APIs</li>
<li>Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems</li>
<li>Have mentored senior engineers or data scientists and raised the technical bar across disciplines</li>
</ul><h3 class="jobSectionHeader">About Us</h3>

At Enigma, we're building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values &ndash; generosity, curiosity, ingenuity, &amp; drive &ndash; guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We're a team of curious, driven individuals with diverse backgrounds and skills, but we're all passionate about engineering deeper understanding through data&mdash;together. If this resonates, we would love to hear from you!

We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Salary Range: $160,000-$210,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we're creating together.</div>

Senior Machine Learning Engineer, Match Team

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Small businesses are the engine of the global economy, but the survival statistics are grim. Most small businesses don't fail from a lack of skill; they are suffocated by administrative overhead and cash flow bottlenecks. Entrepreneurs want to practice their craft, not manage back-office logistics. At QuickBooks, we are building the financial operating system to change this. By automating bookkeeping, payments, and cash flow, we eliminate the operational grind so owners can focus entirely on fueling their growth.
To achieve this, we treat Product Management as a highly hands-on craft. As a Principal Product Manager, you will drive product direction through rapid, iterative prototyping and fast learning cycles. You will co-design live with your engineering and design partners and actively use AI to accelerate your daily work.
This role is designed for leaders who thrive on autonomy, speed, and deep collaboration. By working this way, you have the freedom to turn messy problems into tangible solutions immediately. This hands-on approach dramatically accelerates our time-to-market and allows you to take intense pride in architecting a seamless, end-to-end journey that directly improves the financial lives of our customers.
As the Principal Product Manager for Task &amp; Work Management, you&rsquo;ll be responsible for helping revolutionize how small businesses manage and prioritize their day-to-day work leveraging AI to turn unstructured data (like client communications) and turn it into autonomously up-to-date task management, personalized &amp; prioritized action items, and always on done-for-you agentic workflows. You&rsquo;ll own how the Lead to Cash dashboard comes to life, coordinating across core L2C product teams as well as ecosystem offering teams to bring a simplified and unified experience to customers both within the app (homepage) and beyond (notifications, emails, push, etc.). You&rsquo;re perfect for this role if you have experience building task management, productivity, project management tools and apps and have a vision for how work management across small business teams becomes streamlined and autonomous in the world of AI. 
Responsibilities<ul><li>
Drive Strategy Through Iteration: Lead product direction through rapid prototyping. Create mockups and concepts early, learn through fast feedback cycles in hands-on working groups, and share your findings to propel the product forward.</li><li><div>
Collaborate Fluidly: Co-design live with your cross-functional partners. Bring a strong, hands-on perspective to both technical and design discussions to foster seamless, dynamic collaboration and eliminate friction.</div></li><li><div>
Deliver the Holistic Journey: Operate with an intense sense of pride and urgency. Focus on delivering complete, end-to-end outcomes that genuinely solve the customer's core problems, going beyond isolated metrics to ensure a cohesive, impactful user experience.</div></li><li>
Apply an AI-Native Mindset: Use your technical fluency to uncover how emerging technology unlocks net-new customer value, and actively use AI tools to accelerate your own daily workflows and testing cycles.</li></ul> 
Qualifications<ul><li>
Experience: 10+ years of product management experience, with a proven history of launching and scaling successful products.</li><li><div>
Hands-on Execution: A strong track record of conceptualizing, prototyping, testing, and iterating rapidly to drive product vision from idea to reality.</div></li><li><div>
Technical Fluency &amp; AI Focus: Deep comfort engaging with engineering on technical architecture, combined with a forward-looking approach to utilizing AI in daily product development.</div></li><li><div>
Boundaryless Collaboration: Demonstrated ability to work fluidly across disciplines, fostering a fast-paced, highly aligned team environment.</div></li><li>
Customer Obsession: A relentless drive to deeply understand the daily operational challenges of small businesses and create elegant, immediate solutions to solve them.</li><li>
Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business, or a closely related specialized field (an MBA or advanced degree is preferred). Equivalent experience will be considered.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at [1] Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $ 243,000- 328,500 New York $ 240,000- 325,000 References Visible links 1. https://www.intuit.com/careers/benefits/full-time-employees/ Mountain View $243000 - $328500 
New York $240000- $325000</div>

Principal Product Manager, Task & Work Management

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