Best AI Companies to Work for in NYC, NY (1,080)

Autonomy: Ownership is described as high, with responsibility given early, limited bureaucracy, and clear line of sight from individual work to customer and product outcomes. Feedback suggests initiative is encouraged and work can move from idea to client impact within days.

Career Growth: Steep learning curves, expanding scope, and chances to grow alongside hyper‑growth are consistently emphasized. Feedback suggests rapid development is driven by close exposure to sophisticated legal customers and fast iteration cycles.

Team Support: Colleagues are often characterized as smart, collaborative, friendly, and low‑ego, with notably high talent density. Feedback suggests cross‑functional help and a cooperative atmosphere enable fast problem‑solving.

Autonomy: The environment is described as a small team with “extreme ownership,” where engineers own domains end to end, ship to production within days, and authority comes from initiative rather than titles. Direct customer exposure and a forward‑deployed model further expand individual scope and impact.

Innovation & Products: Work centers on building infrastructure that makes AI outputs traceable, deterministic, and defensible—LLMs orchestrate while deterministic code executes—initially for high‑stakes finance use cases. The problems span agent orchestration, provenance tracking, evaluation harnesses, and a modern stack including Rust and TypeScript.

Benefits & Perks: Offerings cited include equity, fully covered medical/dental/vision, parental leave, commuter benefits, learning/conference budgets, daily office meals, unlimited PTO, and a pet‑friendly office. On‑site collaboration in NYC is paired with some flexibility to work from home when needed.

Work-Life Balance: Work-life balance is frequently described as good, with flexibility and remote options available in several roles, particularly in the U.S. This flexibility supports reasonable hours while allowing different work setups by location and role.

Team Support: Colleagues are often seen as helpful and encouraging, with strong interpersonal relationships and supportive teams. Many describe a people-focused environment that makes day-to-day collaboration easier.

Innovation & Products: Work is characterized as interesting and impactful, anchored by a deep‑learning ad‑tech stack and meaningful client projects. This technical focus provides engaging problems to solve for both technical and client-facing roles.

Learning & Development: Hands-on learning, professional development, AI training, and exposure to complex client problems are emphasized, with a steep learning curve early in careers. Structured programs such as coaching, certification support, and the Learning Collective are highlighted as core to growth.

Career Growth: Advancement is framed around progressively challenging work and clear pathways, with maintaining relationships with leadership encouraged for progression. The brand platform and varied client work help build momentum and mobility across service lines and industries.

Benefits & Perks: The U.S. package is described as broad, including health coverage, retirement/savings programs, student‑loan assistance, certification support, paid parental and family‑care leave, caregiving resources, and well‑being programs. Hybrid work options are common, with in‑person time shaped by client and business needs.

Compensation: Pay is considered competitive, with equity and bonuses part of many offers. Compensation bands and internal career ladders are described as transparent.

Benefits & Perks: Benefits are described as robust, including catered lunches, wellness budgets, professional development support, PTO and parental leave, and a 401(k) match, alongside company events and modern offices. These offerings are highlighted across major hubs with an office‑centric setup.

Autonomy: Work is framed around ownership and rapid iteration, with people encouraged to make quick, reversible decisions and to ship–learn–iterate in short loops. The culture emphasizes accountability and high standards within a collaborative, in‑person model.

Team Support: Colleagues are often described as smart, friendly, and collaborative, with cross‑functional teamwork and a low‑ego atmosphere. The "One Krew" ethos encourages people to help each other across departments.

Autonomy: Work is characterized by high ownership and startup‑style autonomy, with engineers and other functions able to have impact quickly. Cross‑functional initiatives with product, design, QA, and technical writing reinforce this independence.

Benefits & Perks: Benefits are portrayed as comprehensive, including flexible time off, employer‑paid healthcare, paid parental leave, fertility benefits, 401(k), and home‑office/phone/Wi‑Fi stipends. Remote/hybrid flexibility and company retreats further support employees.

Mission & Purpose: Work is often described as mission-driven, focused on reducing waste in healthcare and creating visible impact for patients and payers. This sense of purpose is highlighted as a motivating factor across roles.

Team Support: Colleagues are frequently characterized as competent, kind, and willing to help, with small teams enabling close cross-functional collaboration. Direct access to leadership and a low-hierarchy setup reinforce a supportive, hands-on environment.

Autonomy: Roles are portrayed as high-ownership with broad responsibility and room to learn quickly. Access to founders and a flat structure give individuals latitude to make decisions and see their impact.

Mission & Purpose: Work applying AI to healthcare revenue-cycle operations is often described as meaningful because it aims to reduce administrative burden in healthcare. The company also emphasizes this mission heavily in its own materials.

Team Support: Colleagues are portrayed as responsive with strong ownership and collaboration, and managers are seen as supportive. This creates a cooperative environment that helps work move quickly across functions.

Work-Life Balance: A remote-friendly, work-from-anywhere approach and flexibility are highlighted, complemented by practices like unlimited PTO and periodic gatherings for connection. These elements are frequently cited as supporting balance alongside a fast pace.

Team Support: Colleagues are often described as smart, collaborative, and friendly, creating a supportive atmosphere. Cross-team work and close access to leadership strengthen day-to-day problem solving.

Manager Effectiveness: Leadership is frequently characterized as strong and transparent, with realistic goals and a constructive tone. Managers provide guidance while empowering ownership.

Learning & Development: People highlight steep learning curves, mentorship, and regular knowledge-sharing rituals such as demos, shout-outs, and tech talks. Individuals can broaden responsibilities quickly and gain visibility.

Autonomy: Work is characterized by high ownership with small, cross-functional teams making decisions independently. Company materials emphasize “context over control,” and accounts highlight substantial individual impact.

Team Support: Colleagues are often seen as smart, ambitious, and collaborative, with some teams described as supportive and transparent. Examples point to peers encouraging problem-solving and open access to context to get work done.

Compensation: Pay is considered strong, with equity upside frequently noted. Packages are described as competitive for a fast-growing startup.

Team Support: Colleagues are often seen as smart, friendly, and collaborative across an international workforce. Feedback suggests cross-border teamwork and helpful peers are a standout part of the day-to-day.

Autonomy: Employees are given substantial ownership and responsibility, often early in their tenure. Feedback suggests freedom to make decisions and expand scope is a common strength.

Learning & Development: The pace and complexity of the adtech environment provide significant learning opportunities. Feedback suggests many gain useful experience and broaden skills through varied, high-impact projects.

Autonomy: Roles are described as high-ownership within small, cross-functional teams, where individuals are expected to notice problems and act beyond narrowly defined job scopes. This setup provides broad responsibility and decision latitude from early on.

Mission & Purpose: Work centers on accelerating drug development and getting therapies to patients faster, which makes impact feel tangible. Colleagues are often portrayed as mission-oriented and eager to solve difficult problems.

Learning & Development: Offerings include conference support, certifications, manager training, leadership coaching, an annual learning stipend, mentorship, and internal mobility. Strong exposure to AI and “citizen builder” expectations further expand skill-building across functions.

Team Support: Colleagues are often seen as smart, kind, low‑ego, and supportive, with smooth cross‑functional collaboration. Feedback suggests teammates openly share ideas and create an inclusive, helpful environment.

Benefits & Perks: Benefits are described as generous, including wellness and lifestyle stipends, work‑from‑home and commuting support, parental/family benefits, PTO, and milestone sabbaticals. Feedback suggests the package feels comprehensive and people‑oriented.

Work-Life Balance: Work‑life balance is considered good on many teams, supported by remote‑first practices, focus time, and flexible ways of working. Feedback suggests several roles enjoy sustainable pacing alongside collaboration opportunities.

Autonomy: Confido expects new hires to “ship in week one,” engage directly with customers, and take ownership rather than wait for narrowly defined scopes. Feedback suggests a speed-oriented environment with immediate impact and little bureaucracy.

Compensation: Compensation is positioned aggressively with transparent bands, meaningful equity, and company-paid healthcare, and pay is considered competitive across recent roles. Feedback suggests relocation support and benefits are used to attract strong talent.

Team Support: Colleagues are often seen as talented, collaborative, and supportive, with in-person collaboration and quick whiteboarding to solve problems. Leadership is described as investing where the business needs it, reinforcing a hands-on, helpful culture.

Mission & Purpose: Work is framed around inclusive AI for underserved languages and regulated sectors such as financial inclusion, consumer protection, healthcare, and government services. This focus is portrayed as impactful across emerging markets and local/low‑resource languages.

Autonomy: Roles appear broad in a small, remote team, with examples of internal mobility and substantial ownership across product, delivery, and client work. This setup points to significant individual responsibility and visibility.

Belonging & Inclusion: Published policies emphasize respect, fairness, accountability, and cross‑cultural teamwork, alongside refugee‑friendly hiring and equal‑pay commitments. Periodic retreats and global collaboration are highlighted to keep a distributed team connected.

Autonomy: The culture emphasizes ownership, high-velocity decision-making, and open debate, with room to make an impact. Employees are encouraged to take significant responsibility and operate with independence across teams.

Learning & Development: The work is described as technically challenging with a steep learning curve, exposing people to sophisticated problems. New hires and early-career talent are given real projects and mentorship, with many noting substantial growth over time.

Compensation: Pay and benefits are considered a relative strength, with opportunities for equity participation and wellness programs. Total rewards are often viewed more favorably than other categories such as management or advancement.

Autonomy: Company materials emphasize substantial context, autonomy, and resources, with values like “Own the Outcome” and moving quickly. Feedback suggests individuals receive real end-to-end ownership early and can carve out their own path.

Career Growth: Accounts highlight rapid learning and accelerated responsibility in a high-velocity environment. Feedback suggests strong performers can take on expanded roles and advance quickly.

Compensation: Pay is considered competitive, complemented by meaningful equity. Feedback suggests the total package is bolstered by employer-paid health premiums, 401(k), parental leave, unlimited PTO, and paid meals.

Leadership Communication: Leadership is described as practicing “radical transparency,” with weekly CEO AMAs and broad access to company information. Regular updates and open forums are intended to keep people informed and involved.

Autonomy: Employees are expected to “be an owner” and understand the “why” behind their work rather than simply execute tasks. The high-trust, data-driven approach suits those who enjoy ambiguous problems and decision-making accountability.

Team Support: Colleagues are often characterized as smart, kind, and collaborative, with low silos and cross-functional work. Many accounts highlight a team-oriented environment where ideas are welcomed across boundaries.

Autonomy: Ownership and initiative are explicitly emphasized, with people expected to act like owners and make decisions quickly. Accounts describe meaningful control over work and the ability to move fast with low bureaucracy.

Career Growth: Rapid growth and merit-based advancement are commonly highlighted, with opportunities to gain responsibility quickly and learn on challenging problems. High performers are often described as moving up fast and gaining visibility.

Team Support: Colleagues are often seen as smart, collaborative, and willing to jump in to solve problems together. The environment is frequently characterized as energetic with strong cross-functional collaboration.

Mission & Purpose: Work is framed around expanding access to clinical trials with tangible patient impact. Feedback suggests this clear sense of purpose is a strong motivator that shows up consistently in culture materials and employee-facing pages.

Autonomy: The environment is self-directed and outcome-oriented, with substantial ownership and trust in teams to determine how work gets done. Feedback suggests individuals are encouraged to experiment, refine processes, and stretch into new challenges.

Work-Life Balance: A remote-first setup with flexible, asynchronous collaboration and generous time off is emphasized. Feedback suggests connection rituals and optional in-person gatherings help sustain balance in a distributed model.