ai/ml engineer (entry position) Jobs in New York

ai/ml engineer (entry position)

computational scientist - ai & human health Jobs in New York

computational scientist - ai & human health

data scientist i: network and contracts Jobs in New York

data scientist i: network and contracts

data scientist ii: networks and contracts Jobs in New York

data scientist ii: networks and contracts

product designer, genai

computational scientist ai human health

Mount Sinai Health System

<div>Description
The Computational Scientist works with scientists and researchers to effectively use MSSM HPC (high performance computing) clusters; researches and deploys codes on new technologies, and works with research groups to identify, implement and improve their computational and data workflow. 
Responsibilities<ul><li>
Works directly with scientist and research staff to efficiently and effectively use MSSM HPC clusters, to be expanded to over 10,000 cores with high bandwidth, low latency interconnects several petabytes of data storage and databases.</li><li>
Works with research groups to help identify, implement and improve their computational and data workflow; assists in facilitating computing and data infrastructure solutions specific to MSSM researchers.</li><li>
Participates in the research and deployment of new technologies such as GPUs, Hadoop and cloud computing.</li><li>
Instruments, tunes and helps optimize researchers codes for maximum performance.</li><li>
Troubleshoots isolates and resolves applications and other technical issues.</li><li>
Benchmarks application codes, develops regression tests and deploys application performance tools.</li><li>
Installs and manages numerical libraries and application performance tools.</li><li>
Develops and implements backup policies.</li><li>
Participates in the integration of HPC resources with laboratory equipment such as sequencers, etc.</li><li>
Works with scientists and researchers to effectively use complementary national resources including XSEDE.</li><li>
Helps define and deploy a comprehensive computational and data vision for MSSM researchers.</li><li>
Writes, publishes and presents papers at national and international conferences.</li><li>
Assists in developing and writing proposals. Creates and provides clear documentation on all items.</li><li>
Other relevant duties as assigned.</li></ul> 

Qualifications<ul><li>
Masters degree or equivalent in a domain science; Ph.D in a scientific domain preferred.</li><li>
3 years, preferably in a scientific/academic computing environment or equivalent experience.</li><li>
Experience in batch HPC cluster environment with a parallel file system</li><li>
Experience installing and supporting bio and chemistry codes (NAMD, AMBER, Matlab, Gromacs, DESMOND) and laboratory equipment such as sequencers, etc.</li><li>
Experience with MPI, Open MP and numerical libraries</li><li>
Experience with scientific workflows</li><li>
Experience with instrumenting and optimizing application codes</li><li>
Experience in an academic or research community environment</li><li>
Programming experience in any applicable language</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $96461 - $159101.2 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Computational Scientist - AI & Human Health

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights. 
 
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI. 
 
Join us in shaping the future of advertising. 
 
Key job responsibilities 
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include: 
 
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

Oscar Health

<div>Hi, we're Oscar. We're hiring a Data Scientist to join our Data team.

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.

About the role:

As a Data Scientist I, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into the Senior Data Scientist.

Work Location: 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

Pay Transparency: The base pay for this role is: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>A bachelor's degree in a technical field OR 1+ years of relevant work experience</li>
<li>1+ years experience working with SQL or intermediate Python [For example, working with multiple data sources]</li>
<li>1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis</li>
</ul>
Bonus points:
<ul>
<li>Master's degree in a technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

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.

Pay Transparency: 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.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: 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.

California Residents: 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.</div></div>

Data Scientist I: Network and Contracts

<div>Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

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.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health insurance. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into the Senior Data Scientist.

Work Location: 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

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Ensures processes and policies are aligned with departmental strategies and roadmaps</li>
<li>May mentor junior data scientists and/or analysts</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>3+ years of industry or other quantitative technical fields (which may include academia).</li>
<li>2+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data</li>
<li>2+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</li>
</ul>
Bonus points:
<ul>
<li>Masters degree in a quantitative or technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

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.

Pay Transparency: 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.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: 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.

California Residents: 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.</div></div>

Data Scientist II: Networks and Contracts

Artisan

<div>
 
 About Artisan
 
 
 
 At Artisan, we&rsquo;re building real AI employees - not copilots, not assistants, but autonomous teammates.
 
 
 Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers&rsquo; tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.
 
 
 Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.
 
 
 We went through Y Combinator (W24) and have raised $35M+ from top investors. We&rsquo;re at $7M+ ARR, with hundreds of customers including Remote, Quora, and SumUp. We&rsquo;re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.
 
 
 
 Your Mission
 
 
 
 This isn&rsquo;t a maintenance gig. You&rsquo;ll design, build, and scale the backend that powers AI employees. Expect to:
 
 
 <ul>
 <li>
 Build resilient, scalable services : Architect and implement backend systems and APIs that handle high-throughput AI requests with precision.
 </li>
 <li>
 Own end-to-end delivery : From design to deployment, you&rsquo;ll shepherd features into production rapidly, with quality and ownership.
 </li>
 <li>
 Work cross-functionally : Partner with product, design, and AI teams to ensure backend decisions serve real user workflows.
 </li>
 <li>
 Use AI as a coworker : Directly collaborate with AI coding agents like Claude Code, leveraging them to boost your productivity and quality.
 </li>
 <li>
 Maintain engineering rigor : Champion testing, observability, deployment pipelines, and reliability best practices from day one.
 </li>
 <li>
 Drive long-term scalability : Iteratively improve architecture, manage technical debt, and optimize for scale as we grow.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.
 </li>
 <li>
 Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.
 </li>
 <li>
 Proficiency with cloud-native tools - containers, orchestration (e.g., Kubernetes), monitoring, CI/CD.
 </li>
 <li>
 Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + NoSQL).
 </li>
 <li>
 Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.
 </li>
 <li>
 Demonstrated track record of ownership - leading parts of systems independently and shipping with impact.
 </li>
 <li>
 Excellent communication, clarity in articulating architecture to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What Makes This Role Stand Out
 
 
 
 <ul>
 <li>
 End-to-end ownership : You&rsquo;re not just doing the &ldquo;ticket&rdquo;; you own feature delivery. Build systems that support intelligent, autonomous AI teammates.
 </li>
 <li>
 Scalable, reliable systems : Backend must handle growth and complexity. High-throughput pipelines serving AI agents across many customers.
 </li>
 <li>
 Hands-on infrastructure work : Jump in on deployment, monitoring, tuning. You're shaping the platform that automates itself (AI agents included).
 </li>
 <li>
 Collaborative, multidisciplinary environment : Work closely with product, design, ops. Work alongside AI engineers and product partners to define what AI employees can do.
 </li>
 <li>
 Balance innovation and technical debt : Iterate quickly while maintaining system health. Ship fast but sustainably - your engine powers AI teammates in production.
 
 
 </li>
 </ul>
 
 Why Artisan is the Next Career-Defining Move
 
 
 
 <ul>
 <li>
 You&rsquo;ll be building the infrastructure that powers AI employees - an entirely new product category.
 </li>
 <li>
 Real equity upside and compensation aligned with high expectations and high impact.
 </li>
 <li>
 High-velocity environment: release often, learn fast, iterate week over week.
 </li>
 <li>
 Mission-driven: reshape how businesses scale by putting AI on the front lines.
 
 
 </li>
 </ul>
 
 Details
 
 
 
 <ul>
 <li>
 Role: Engineering
 </li>
 <li>
 Eng type: Backend
 </li>
 <li>
 Job type: Full-time
 </li>
 <li>
 Experience: 2+ years
 </li>
 <li>
 Location: San Francisco or NYC (in-person)
 </li>
 <li>
 Remote: In rare circumstances
 </li>
 <li>
 US visas: Will sponsor
 </li>
 </ul>
</div>

Software Engineer (Backend)

Siro

<div>
 Field sales powers the economy &mdash; but most teams are struggling. Reps are buried in admin work, managers are stretched thin, and leaders can&rsquo;t see what&rsquo;s really happening in the field.
 
 
 Siro is redefining how field sales teams learn, perform, and win.
 
 
 We started as an AI-powered coaching platform that helped reps improve their outcomes in the field.
 
 
 Today, we&rsquo;re something much bigger &mdash; an intelligent companion that automates sales reps&rsquo; tedious admin work, gives managers real-time visibility, and helps executives see around corners.
 
 
 Our platform integrates with systems like Salesforce, analyzing thousands of in-person sales conversations to surface insights, automate workflows, and drive better outcomes across the org. Think
 
 Iron Man&rsquo;s
 
 Jarvis for sales &mdash; proactive, personalized, and built directly into the tools teams already use.
 
 
 Siro has raised $75M and is backed by world-class investors like Index, Fika, CRV, and SignalFire. We are trusted by leading home-improvement, retail, hospitality, and automotive brands, and powered by a lean team from Meta, McKinsey, Doordash, and Uber.
 
 
 We&rsquo;re building the future of human-AI collaboration in sales &mdash; and we&rsquo;re just getting started.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and enhance features (especially frontend) for Siro's direct consumers, creating intuitive user experiences for our AI-powered sales platform
 </li>
 <li>
 Own the end-to-end development of key features, from architectural decisions through implementation, deployment, and support
 </li>
 <li>
 Craft intuitive, performant user interfaces that make complex AI insights accessible to our users
 </li>
 <li>
 Drive technical excellence through thoughtful code reviews, documentation, and engineering best practices
 </li>
 <li>
 Partner closely with product and design teams to transform customer needs into elegant technical solutions
 </li>
 <li>
 Help evolve our development practices and tooling to enable sustainable scaling while maintaining velocity
 </li>
 <li>
 Own the health of our systems and products, and make data-driven decisions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 We expect 3+ years of professional software engineering experience.
 </li>
 <li>
 You are excited to work in our NYC office 3+ days a week with the rest of the team.
 </li>
 <li>
 You demonstrate strong proficiency in TypeScript frameworks
 </li>
 <li>
 You have experience with Node.js and REST API design
 </li>
 <li>
 You have demonstrated skill in mobile and/or web performance optimization
 </li>
 <li>
 You are a strong problem solver, with the ability to think critically and approach challenges with a first-principles mindset.
 </li>
 <li>
 You have strong communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 Our Tech Stack
 
 
 In case you&rsquo;re curious, we use the following technologies (and more), but proficiency in any specific technology is not required.
 
 
 <ul>
 <li>
 Frontend: React Native, Svelte, TypeScript
 </li>
 <li>
 Mobile: Swift, Kotlin
 </li>
 <li>
 Backend: Node.js, Typescript, serverless functions
 </li>
 <li>
 Cloud: Google Cloud Platform (GCP)
 </li>
 <li>
 Other tools: Git, Datadog, Figma
 
 
 </li>
 </ul>
 Why Join Siro?
 
 
 <ul>
 <li>
 Growth: Join a rapidly scaling Series B startup with proven product-market fit
 </li>
 <li>
 Technology: Work with cutting-edge AI technologies and a modern tech stack
 </li>
 <li>
 Team: Collaborate with an experienced CEO (previously built a successful sales tool used by 100,000+ reps) and top-tier team
 </li>
 <li>
 Ownership: Take end-to-end ownership of features that directly impact our users
 </li>
 <li>
 Learning: Work across the full stack and grow your technical breadth
 </li>
 <li>
 Impact: Help democratize sales success and create opportunities for millions of sales professionals
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 You're a collaborative team player with a "we before me" mindset, always ready to support and elevate your colleagues.
 </li>
 <li>
 You have high standards for excellence and aren't afraid to voice your opinion to push for quality.
 </li>
 <li>
 You think strategically beyond code, considering business and design implications in your work.
 </li>
 <li>
 You actively leverage AI coding tools to assist you during development.
 </li>
 <li>
 You thrive in an agile environment with low management overhead.
 </li>
 <li>
 You're creative and can think outside the box to solve complex problems in innovative ways.
 </li>
 <li>
 You continuously look to grow your skills and your impact.
 
 
 </li>
 </ul>
 
 At Siro, we are committed to creating a diverse and inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
</div>

Software Engineer, Full Stack

ETHYCA

<div><h2 class="jobSectionHeader">A World-Changing Company</h2>
At Ethyca, we're engineering trust for humanity. We believe that by building Fides, the operating system for Data Privacy &amp; AI Governance we can solve the world's most critical and challenging problems of trust and safety in data and AI driven enterprise on behalf of every person. We partner with the most important institutions in the world to transform the safety, trust and integrity of their data and technology systems. Our software has been used to power the safety and privacy of millions of users globally.<h2 class="jobSectionHeader">
Role</h2>
As a Senior Product Designer, you will own the end-to-end design process for our enterprise products. You will translate ambiguous challenges into intuitive, impactful interfaces, balancing user needs with business goals. Collaborating with engineers, PMs, and stakeholders, you&rsquo;ll craft scalable design systems that empower users and enhance efficiency to create trust in complex, data-driven enterprise institutions.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Design high-impact, user-focused solutions for complex workflows and data products.</li><li>
Create and maintain scalable design systems for enterprise applications.</li><li>
Collaborate cross-functionally with engineers, product managers, and researchers to align on goals and deliverables.</li><li>
Conduct user research and testing to inform design decisions.</li><li>
Deliver pixel-perfect, accessible, and implementable designs with high fidelity.</li><li>
Iterate design ideas quickly in response to user and engineering feedback.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
5+ years of experience in product design with a strong UX/UI portfolio.</li><li>
Expertise in design tools (Figma, Sketch, Adobe XD) and prototyping tools.</li><li>
Experience solving complex problems with user-centered design principles.</li><li>
Strong understanding of accessibility standards and best practices.</li><li>
Exceptional collaboration and communication skills.</li><li>
Proven ability to balance strategic thinking with hands-on design execution.</li></ul><h2 class="jobSectionHeader">
 Benefits</h2><ul><li>
Competitive cash and equity compensation</li><li>
100% medical and dental insurance coverage for you and your dependent(s)</li><li>
Remote-friendly office hours and vacation policy</li><li>
Sponsored company lunches and events</li><li>
Parental leave and 401K plan</li></ul>
Our benefits aim to promote health and well-being across all areas of Ethycans lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list above details our available benefits and some of the perks that can be enjoyed as an employee of Ethyca.<h2 class="jobSectionHeader">
Life at Ethyca</h2>
We want every Ethycan to achieve their best outcomes, that&rsquo;s why we celebrate individuals&rsquo; strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Ethyca is a distributed team with headquarters in NYC and remote workers across the US. In keeping consistent with Ethyca's values and culture, we believe employees &ldquo;share the work&rdquo; as one team, and in-person work affords the opportunity for more creative outcomes. Therefore we encourage our deployment team to work from our offices to foster excellence in innovation and outcomes for our clients. Preference will be given to candidates who are able to come into the office, located in midtown Manhattan, at least 2 days a week.
We&rsquo;re a Data Privacy and AI Governance company building a missing piece of the Internet&rsquo;s infrastructure: the operating system for governance that empowers users and businesses to manage data respectfully. Every day, Ethycans tackle one of the world's most challenging problems - how to make data and AI driven technology safer for humanity - and thinking about the future of human rights as society increasingly moves online. If this sounds intriguing and you&rsquo;re excited to shape that future with us, we&rsquo;d want to speak with you.
Ethyca is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer. We believe that all Ethycans share the responsibility of upholding our commitment to these values and encourage candidates from a wide range of backgrounds, perspectives, and lived experiences to join us in solving the world&rsquo;s hardest problems. Ethyca does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor&rsquo;s EEO poster, EEO poster supplement and Pay Transparency Notice for additional information. 
Compensation Range: $160,000 - $190,000/y</div>

Senior Product Designer

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