Senior Data Scientist - Predictive Analytics

Join Alloy and Make a Difference! At Alloy, we tackle the identity risk challenges faced by companies offering financial products. We empower over 800 of the world's leading financial institutions and fintechs to combat fraud, manage credit, and ensure compliance risk, all while enhancing their understanding of their customers. Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—foster a nurturing work environment where you can excel and feel a true sense of belonging. Year after year, we have been acknowledged as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and recognized as a Best Fintech to Work for by American Banker. To learn more about our mission and values, visit us here.

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

At Profound, our mission is to empower companies to harness and manage their AI presence effectively. As a Data Scientist, you will be instrumental in mapping the interactions between humans and AI, enabling brands to transform AI into their most formidable advocates. Your role will involve constructing predictive models, creating innovative sampling methodologies, and enhancing brand visibility in AI-centric search environments like ChatGPT and Perplexity. Your contributions will significantly influence how businesses define their footprint in the generative AI landscape.Key ResponsibilitiesDevelop and enhance predictive models to analyze and forecast AI-driven search patterns.Design advanced sampling and data classification techniques to elevate AI-driven brand insights.Utilize large language models (LLMs) and natural language processing (NLP) to derive valuable insights from unstructured text data.Manage large datasets, ensuring efficient querying, cleaning, and classification processes.Conduct A/B tests and implement experimental frameworks to evaluate impact.Collaborate with the founding team to translate complex data insights into actionable business strategies.Candidate ProfileMinimum of 3 years of experience in advanced analytics within technology, marketing, or advertising sectors.Proficient in Python, R, and SQL, with practical experience in querying and analyzing large datasets.Strong expertise in data sampling methods such as stratified sampling, bootstrapping, and extrapolation.Solid foundation in predictive modeling and the application of machine learning techniques to predict event frequency.In-depth knowledge of large language models, their constraints, and practical applications.Enthusiastic about staying updated on AI research, particularly in multi-modal AI and advancements in LLMs.Adaptable to a fast-paced, high-performance startup culture.Work EnvironmentThis role will be based in our Union Square, NYC office, designed for individuals who thrive on speed, iteration, and impactful contributions. We are open to providing visa sponsorship for eligible international candidates.The expected base salary range for this position is between $140,000 and $260,000. Profound offers a competitive total compensation package that includes base salary, equity, and a comprehensive array of benefits. The final compensation will be determined by factors such as experience, qualifications, and internal equity.

Welcome to Oscar, where we're redefining health insurance. We're on the lookout for a Senior Data Scientist to become a vital part of our Engineering team. Founded in 2012, Oscar is the first health insurance provider designed around a comprehensive technology platform, prioritizing our members' needs. Our mission is to create a health insurance experience that feels like having a trusted family doctor. About the Role At Oscar, we harness the power of high member engagement and innovative technology—like virtual care and superagent services—to make a significant impact on health outcomes. As a Senior Data Scientist, you'll craft personalized, multi-channel marketing campaigns aimed at influencing key health behaviors among Oscar members. Your responsibilities will include ideating and scoping business cases, designing targeted data pipelines using predictive models, launching campaigns, and monitoring and optimizing them in real-time to determine the most effective marketing strategies. You'll leverage both traditional statistical methods and advanced machine learning techniques to achieve these goals. This position requires close collaboration with our marketing and clinical teams, all focused on a shared objective: reducing medical costs. You will be accountable for each campaign's success and will report directly to the Senior Director of Data Science. Work Location: This is a hybrid role based in our New York City office, Los Angeles office, or Tempe office. It requires a hybrid work schedule of three days in-office each week, with an option for remote work if you reside in Boston or the San Francisco Bay Area. Thursdays are mandatory in-office days for team meetings and events, while the other two office days can be flexible. Pay Transparency: The base salary for this position ranges from $158,400 to $207,900 annually. You will also enjoy a comprehensive benefits package, participation in Oscar's unlimited vacation program, stock equity grants, and annual performance bonuses.

THE POSITIONYour next big career move starts here! The Senior Director of Performance and Insights – FanDuel Predicts plays a pivotal role in establishing and leading the analytics framework that drives decision-making, performance management, and execution across Commercial, Product, and Marketing for FanDuel Predicts. This visionary leader will create a single source of truth for Predicts, defining essential metrics and ensuring that insights lead to actionable strategies across the organization. Reporting directly to the General Manager of Prediction Markets, the Senior Director will oversee Predicts’ performance management system, which includes KPI frameworks, forecasting support, dashboards, and leadership reporting. This role combines analytical expertise with astute business judgment to maintain clarity, accountability, and agility as Predicts scales. The ideal candidate will collaborate closely with teams across Product, Marketing, Partnerships & Commercial Operations, Finance, and centralized FanDuel Analytics to ensure that Predicts’ strategy, execution, and customer experience are driven by high-quality data and insights. In addition to the outlined responsibilities, employees may be tasked with additional duties as assigned by the Company, ensuring operational flexibility to meet evolving business needs. THE GAME PLANEvery team member contributes to our success. Own the “why” of FanDuel Predicts, serving as the single source of truth across the business. Define not just what success looks like, but also how, when, and why we measure it. This is a leadership-focused role, not just reporting or BI. Build and lead the Predicts Analytics function, encompassing commercial performance, product usage and experience, and marketing effectiveness. Define and manage Predicts’ KPI framework, ensuring consistent definitions, targets, and ownership across Commercial, Product, Marketing, and Operations. Develop a high-performing analytics team, fostering a culture of rigor, curiosity, and strong business collaboration. Articulate Predicts’ performance narrative for senior leadership, shaping how results, risks, and trade-offs are presented to the SVP, FanDuel ELT, Flutter Ventures, and the Board. Lead the development of dashboards and reporting that provide timely visibility into revenue, customer engagement, acquisition efficiency, retention, and product performance.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and enhancing longevity. We leverage state-of-the-art scientific advancements to empower individuals to take charge of their health and realize their fullest potential. Our team is the core of our mission and plays a critical role in driving our success. We approach every initiative grounded in our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeSince our inception, Hone has embraced a fully virtual model and will continue to prioritize remote work.Our Ideal CandidateThe ideal candidate is a mission-driven, dynamic individual who thrives in fulfilling and impactful work. They are adaptive to change and tackle challenges with enthusiasm. With a commitment to excellence, they understand the fast-paced, high-growth nature of our organization and can manage both independent and collaborative tasks effectively. They lead with transparency and humility, driving initiatives forward while remaining open to continuous learning. They are passionate about contributing to a team focused on helping people live longer, healthier lives.The RoleHone is seeking a Senior Data Scientist, Marketing to enhance our expanding data team. Reporting to the Sr. Director of Data, Analytics, and Machine Learning, you will collaborate closely with Marketing, Growth, and Product teams to boost customer acquisition, conversion, and retention through insightful data analysis and modeling.Your primary focus will be on developing and applying statistical models, conducting experiments, and performing analyses that inform marketing strategy, optimize funnel performance, and enhance customer lifetime value. This senior individual contributor role offers significant ownership over execution and delivery, ideal for someone who excels at transforming business inquiries into machine learning solutions while producing high-quality work independently and fostering cross-functional collaboration for measurable outcomes.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Collaborate with Marketing teams to analyze and enhance the entire customer funnel, encompassing acquisition, conversion, retention, and churn.Develop and maintain robust statistical models and...

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.

Role overview phia seeks a Senior Data Scientist based in New York City. This role centers on applying analytical skills to support business decisions and shape company strategy. The Senior Data Scientist will handle large, complex datasets and use advanced statistical methods along with machine learning models to extract insights and forecast future trends. What you will do Examine diverse datasets to spot patterns and emerging trends Build and improve predictive models using statistical and machine learning approaches Present data-driven findings as clear, practical recommendations for stakeholders Contribute to strategic planning by providing insights grounded in data analysis

Join our dynamic team at Suno as a Senior Data Scientist specializing in Content and Social Media. We are seeking an innovative professional who is passionate about leveraging data to create impactful strategies that drive engagement and growth across various social platforms. Your expertise will be instrumental in analyzing trends, developing models, and optimizing content strategies to enhance user experience.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing how individuals interact with personal finance. As a forward-thinking financial services company and national bank, we utilize innovative, mobile-first technology to empower millions of members to achieve their financial goals. The finance industry is undergoing a significant transformation, and we are leading the charge. Every day, we come to work with the knowledge that our efforts have a tangible impact on people's lives, guided by our core values. Become part of our mission to invest in yourself, your career, and the financial landscape.Your RoleThe Borrow Data Science team is on the lookout for a Senior Data Scientist who will play a crucial role in driving growth across our Lending sectors by converting raw data into actionable insights that fuel our success. This position is perfect for an inquisitive data scientist who is driven to discover insights in advance of requests.To excel in this role, you must function as a strategic partner; you are more than just a technical executor—you are an analytical storyteller who bridges the gap between intricate data and business strategy. You will leverage technical skills in SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, while your true influence will manifest through leading cross-functional initiatives and advocating for data-driven decisions that shape the product roadmap.Key ResponsibilitiesProactive Insight Generation: Harness your curiosity to explore data deeply, uncovering trends and opportunities that may be overlooked, and share these findings proactively with leadership.AI Innovation: Serve as a catalyst for AI integration within the team. Identify and implement AI tools and workflows that enhance data engineering tasks, expedite analysis, and drive substantial business results.Analytical Storytelling: Transform complex quantitative analyses into clear, convincing narratives that enable business leaders to make informed, high-impact decisions.Strategic Leadership: Collaborate with cross-functional teams to optimize core product decisions, including funnel conversion, experimentation, and unit economics.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and promoting longevity. Our mission is to leverage the latest scientific innovations to empower individuals to take charge of their health and realize their full potential. The heart of our success lies in our people, who embody our core values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization from the start, Hone is committed to maintaining a remote-first work culture.Our Ideal CandidateWe seek a mission-driven and enthusiastic multitasker who is passionate about impactful and fulfilling work. Our ideal candidate embraces change and faces challenges with vigor, adopting an “all-in” approach to their responsibilities in our fast-paced, high-growth environment. They excel in both independent and collaborative tasks and lead with transparent communication. They embody humble leadership, driving initiatives forward while remaining dedicated to continuous learning and development. Most importantly, they are committed to being part of a team that advocates for improved longevity and quality of life for all.The RoleWe are searching for a Senior Data Scientist in Healthcare Operations to join our data science team. In this pivotal role, you will report to the Sr. Director of Data, Analytics, and Machine Learning, focusing on the application of data science and AI to enhance clinical outcomes and boost physician productivity across Hone’s virtual care platform.You will collaborate closely with clinical leadership, product, and engineering teams to design, develop, and assess models and AI-driven workflows that facilitate care delivery, minimize operational challenges, and empower clinicians to utilize their skills fully. As a senior individual contributor, you will be responsible for executing and delivering high-impact, well-defined projects. This position is perfect for someone who thrives at the intersection of healthcare, data science, and applied AI, eager to make a tangible impact on patient care.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

About SafeLeaseAt SafeLease, we are transforming the landscape of property and casualty insurance amidst rapid technological advancements. We recognize that the most significant inefficiencies in the industry are not rooted in technology but in structural aspects. Our mission is to assemble a dynamic team to address these challenges head-on.As a profitable insurance provider, SafeLease specializes in designing, underwriting, and distributing tailored coverage solutions for commercial property owners and their tenants. Unlike typical insurance firms that either distribute products or assume risks, we do both. We underwrite our policies using our own capital, granting us control over every aspect—from product design to technology, and the pace of our operations. This comprehensive control allows us to provide our clients with genuine flexibility, resulting in time and cost savings for over 4,000 properties insured nationwide, valued in the billions.With a robust team of 70 professionals and an impressive annual growth rate exceeding 100%, we prioritize maintaining profitability and a positive workplace culture. Here, you will enjoy significant autonomy while tackling a diverse array of challenges. We adopt the latest technologies, act swiftly in our decision-making, and foster a company atmosphere akin to a startup where every team member’s contributions are recognized. If you seek an environment that allows you to hone your skills alongside dedicated professionals, you will find your place with us.Location: New York City or Austin, TX - (Hybrid)Department: Data & AnalyticsReports To: CEOWe are in a phase of rapid expansion and need a visionary leader to develop and guide the data and analytics team, propelling our next growth stage. This is a pivotal position with direct involvement in leadership discussions.Position OverviewWe are in search of an exceptionally strategic and hands-on Senior Vice President of Data & Analytics to spearhead our analytics initiatives across the organization. This executive will oversee the comprehensive analytics function—including data management, collection, insights, reporting, and advanced strategic planning—encompassing both our real estate investment portfolio and insurance operations.The ideal candidate will be proactive, capable of working independently, and able to deliver impactful results without extensive support or existing infrastructure. They will establish the vision for our analytics strategy, ensuring that the company utilizes data effectively to facilitate informed, high-velocity decision-making.

Join Posh as a Senior Data ScientistAt Posh, we are on a mission to combat the growing loneliness epidemic exacerbated by digital social platforms. We empower individuals to forge real-life communities based on shared interests, creating a vibrant space for genuine connections.Our platform, designed by event organizers frustrated with current social tools, facilitates community building, event management, and monetization. In just five years, we've expanded to over 7 million users and processed more than $300 million in transactions, supported by $70 million in venture funding.Your RoleAs a Senior Data Scientist, you will play a pivotal role in developing our personalization and recommendation systems. You will lead the creation of our core algorithms, define our modeling strategy, and establish data standards organization-wide.Your responsibilities will encompass the full machine learning lifecycle, from identifying new data sources to evaluating model performance, directly influencing product experiences and user engagement.Collaboration is key; you’ll work closely with Product and Engineering teams to establish feature requirements and ensure the accuracy of our datasets. Your expertise will help maintain data integrity and model performance as we scale.This is an on-site position in our vibrant New York City office, located in the heart of SoHo. We believe in building live experiences and cultivating a passionate team environment.

Role Overview firststreet is hiring a Senior Data Scientist in New York City. This position focuses on building predictive models, analyzing large datasets, and turning complex data into practical insights that support business goals. What You Will Do Design and implement predictive models using machine learning and statistical methods Analyze complex datasets to uncover trends and patterns Work closely with colleagues from different teams to translate data findings into actionable recommendations Support business strategy and decision-making through advanced analytics Help strengthen firststreet’s overall data capabilities Who We’re Looking For Experienced in data analysis, machine learning, and statistical modeling Comfortable working with large and complex datasets Skilled at collaborating with cross-functional teams

Compensation: $120k – $170k + meaningful equityAbout the RoleJoin Onyx Odds as a Data Analyst specializing in Trading and Operations. This position is pivotal in leveraging data to enhance our trading strategies and operational efficiency within the dynamic world of sports prediction.Your ResponsibilitiesTrading AnalyticsAnalyze odds, lines, and market movements to inform trading decisions.Create and manage dashboards to track trading performance and risk levels.Identify trends and anomalies in sports data to uncover opportunities.Develop models and tools aimed at enhancing pricing accuracy and operational efficiency.Collaborate with the trading team to optimize strategies using data-driven insights.Operations AnalyticsMonitor and report on essential operational metrics across our platform.Examine user behavior, transaction processes, and overall platform performance.Pinpoint bottlenecks and inefficiencies, proposing actionable improvements.Support forecasting and capacity planning initiatives.Maintain data integrity and accuracy within operational systems.Cross-Functional CollaborationWork alongside product, engineering, and finance teams to align data-driven insights with business objectives.

Anthuria creates AI tools for skilled nursing facilities, turning detailed clinical notes into usable insights that support patient care, reimbursement, and compliance. The team includes healthcare industry veterans who understand the real-world challenges of clinical operations. With support from a healthcare-focused family office, Anthuria already works with 180 facilities across more than 10 states. Collaboration, curiosity, and technical excellence shape Anthuria’s culture. Team members have a direct influence on technical direction, company practices, and the products themselves. The company values open communication and aims to deliver practical value to clients. Role overview The Senior AI Applied Scientist role is based in New York City. This position is part of Anthuria’s early-stage technical team, offering the chance to influence both product and culture. What you will do Develop AI-driven features: Collaborate with cross-functional teams to design and build AI-powered tools that improve post-acute care operations. Write production-grade Python code and combine software engineering with machine learning to deliver reliable solutions. Manage evaluation frameworks: Define evaluation methods and metrics for AI systems. Test, monitor, and assess model performance to support rapid iteration and high-quality product delivery. Analyze requirements and user behavior to align with strategic goals. Foster a metrics-driven culture: Build data pipelines, product analytics, and experimentation processes that keep the team focused on measurable results. Communicate technical concepts clearly to stakeholders from various backgrounds. Ensure compliance and data security: Integrate security and HIPAA-grade compliance into every AI system, pipeline, and experiment to protect sensitive patient data as Anthuria grows. Advance AI innovation: Stay active in research, learn from customer workflows, and contribute ideas to improve Anthuria’s AI solutions.

At PermitFlow, we are transforming the construction landscape across America. As a pioneering applied AI firm, we address one of the most significant information challenges facing the industry: understanding what can be built, where, and how. Our innovative AI-driven solutions empower the nation's builders, enabling them to navigate complex processes from permitting to inspections, thereby accelerating housing, clean energy, and infrastructure projects nationwide.The construction sector, valued at $1.6 trillion, is plagued by inefficiencies, such as significant delays and squandered resources. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in developments, allowing contractors to minimize compliance time, mitigate risks, and confidently scale their operations.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy projects, joining PermitFlow means being at the forefront of building the AI infrastructure essential for every construction endeavor, propelling the next wave of reindustrialization.With over $90 million raised, including our recent Series B funding from distinguished investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, we are backed by leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate under a hybrid work model (3 days in-office per week). We welcome candidates based in NYC or those willing to relocate.