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Soft Goods Designer – (Wearable Garments- sports Wear and performance Apparel - Medical Devices) Sun Scientific | R & D Division Location: Dobbs Ferry, NY Reports to COO Salary: $120,000 -$160,000 Portfolio Requirements Please submit a hyperlink of a 10-page portfolio (maximum) highlighting the technical requirements above. Please show one case study project that highlights your process. Position Summary: We are looking for an exceptionally talented Lead Industrial Designer Soft goods to join our product development team. Sun Scientific is a fast-growing, patient-centric medical device company bringing wearable therapeutic products into the future — with applications in both healthcare and consumer wellness. This is a hands-on, high-impact role where you will push the form, fit, and function of our current and next generation product lines. You will own the design direction for the future of Sun Scientific product design language and define how each product line lives together as a family while differentiating itself from the competition and exceeding our patients' expectations with best-in-class design. Key Responsibilities • Lead end-to-end design of soft-good products, • Collaborating with an internal cross functional team of product managers, mechanical engineers, manufacturing and quality engineers, • Meeting clinical performance requirements while creating best in class products that meet patient needs for fit comfort and ease of use, • Evolve the brand language of Sun Scientific across all new products to have a visual brand language that speaks to the established attributes of the brand., • Define color material and finish for all soft goods products and develop a library of materials that will define the brand and provide a functional foundation for the technical products we build. Functional & Technical Design • Ability to create tech packages with construction definition, material break up and color definition, • Able to create flat patterns or direct a pattern maker to make samples and prototypes, • Work with textile mills to develop materials from ground up that meet color and performance specifications, • Deep understanding of soft goods construction including ultrasonic welding and performance stitching., • Design and specify the integration of pneumatic systems including how air bladders attach to and interface with form-fitting liners, tube routing, port placement, and seal integrity under repeated use, • Ability to drive user testing to determine qualitative experience of the patient and adapt those changes into actionable design inputs, • Experience integrating technical hardware, and making delightful solutions for physical user interface details that differentiate the products from other brands, • Own ergonomic testing and assure that fit remains consistent across products, • Drive design intent through the design for manufacturing process while working with internal engineering and factory engineers, • Balance design proportions with wearability & functional details to make beautifully designed products, • Hands-on experience building prototypes - Ability to make and work with prototypers to iterate quickly through multiple rounds of physical samples to production-ready spec., • Meaningful exposure to manufacturing methods beyond cut-and-sew — RF welding, ultrasonic bonding, heat bonding, lamination, or other tooled construction — with enough working knowledge to design for those processes and collaborate effectively with the people who run them, • Familiarity with washability standards, wear durability testing, and performance certification Collaboration & Communication • Ability to lead cross functional teams in brainstorms, mind mapping and storyboarding activities, • Able to manage project timelines and execute deliverables to that timeline, • Present design concepts and rationale confidently to clinical, regulatory, and commercial stakeholders — translating construction decisions into language non-designers can evaluate and approve, • Work closely with manufacturing and sourcing partners domestically and in Southeast Asia, • Conducting design reviews, sample approvals, and factory communications Tools & Software • Onshape, Solidworks, CLO 3D or equivalent 3D garment simulation software, • Keyshot, Blender or equivalent rendering software, • Adobe Illustrator & Photoshop — technical flats, mood boards, presentations, • Pen and Paper - Procreate, ideation and concept sketching, • Microsoft Office / Google Suite — spec sheets, project tracking BOM management PLM tools a plus Qualifications -Required • Bachelor's degree in industrial design, Shoe design or Apparel Design, • 6+ years of experience designing performance focused sportswear, soft goods or wearable products, • Basic understanding of injection molding and working with mold suppliers, • A portfolio of performance soft goods products that has shipped, • You have worked for a brand (s) in the medical, athletic, or wearable product space Preferred • Background with large brands known for design and innovation in a performance category of product, • wearable or medtech startup with strong product design DNA, • Understanding of working with electronic components and designing around them, • Experience working with Chinese manufacturing partners and textile mills, • Basic knowledge about FDA 21 CFR Part 801 labeling requirements, ISO 13485 standards, and biocompatibility testing., • Experience working on Type 1 and 2 Medical devices What Success Looks Like in the First Year You have contributed to ongoing designs to move them into production while developing a design language and CMF that can be scaled across future lines of product. You have driven the design process to meet milestones for next gen projects and helped define what the design discipline needs to deliver at each stage. Core Competencies Leadership through design • User centric process • Relationship building • Resilience & adaptability • Clear, persuasive communication • Ownership and follow-through Why Join Sun Scientific :This is a rare opportunity to set company design direction and help build the design discipline and process from the ground up inside a fast-growing, clinically respected medical device company. You'll have a direct line to leadership, the chance to shape the team and culture for product development.

Dual Fuel Company LLC is a full-service Mechanical, Electrical, and Plumbing (MEP) contractor headquartered in Mount Vernon, NY, serving New York City's multifamily, commercial, and institutional markets. With over 100 employees and a reputation built on technical excellence and accountability, Dual Fuel designs, installs, maintains, and monitors HVAC and plumbing systems that deliver maximum comfort at the lowest possible lifecycle costs. Our team is guided by a set of core values: we want to see our colleagues develop and thrive, our customers' problems are our problems, every interaction matters, we are data driven, we leave no stone unturned, and we can master anything. Position Overview The Project Manager is the executive owner of every project they carry — accountable for schedule, financial performance, client relationship, contract compliance, subcontractor performance, and closeout from contract award through final billing. The PM leads a project team composed of an Assistant Project Manager, a Site Superintendent, and one or more Foremen, and is the single point of escalation for all project-level decisions. This is an office-based role with regular site visits. The PM must be equally fluent in construction documents, financial reporting, and client communication. Key Responsibilities Client & GC Relationship • Serve as the primary external point of contact for all client and GC communications on assigned projects., • Provide proactive project updates and ensure the client is never surprised by schedule, cost, or scope developments. The APM supports meeting documentation and tracking; the PM owns the relationship and the substance of all communications., • Attend all required project meetings with architects, engineers, customers, and city agencies. Financial Performance • Own job costing, billing projections, margin protection, and monthly pay application submissions., • Generate and submit accurate monthly requisitions; target first-submission approval through disciplined, well-documented billing., • Review cost reports and budget vs. actual regularly with the APM. Identify variances early and take corrective action., • Track and protect project margin through every phase of work. Change Order Management • Own the complete change order process: identify the trigger, price the work, review and approve the CO document prepared by the APM, send the formal request to the client, and ensure the approved amount is billed accordingly., • All change order communication with the client runs through the PM. No one in the field discusses scope changes or extra work with the client — a verbal agreement in the field without a PM-approved change order is a liability., • Submit formal time extension requests to the client for all approved change orders where schedule impact exists. Contract & Scope Management • Own all contract requirements and scope obligations from award through final completion., • Lead the internal contract document review process and translate contract scope into actionable construction tasks for the field team., • Identify and resolve scope gaps, RFIs, and scope change triggers before they become issues in the field. Schedule Ownership • Own the master project schedule: milestones, critical path dates, and ongoing updates throughout construction., • Submit 2-week look-aheads to the GC and review schedule health weekly with the Site Superintendent., • Hold the team accountable to schedule milestones and escalate risks proactively. Buyout & Purchasing • Own the full purchasing process for equipment and subcontractors: prepare scope of work documents, solicit and level competitive bids, prepare award recommendations, and obtain required approvals., • Coordinate with the APM on purchase order preparation, vendor follow-up, and delivery tracking., • Structure purchasing to maximize leverage — package multi-property or multi-scope buys where possible. Subcontractor Management • Own subcontractor scope leveling, award, contract execution, and on-site performance throughout the project., • Ensure all subcontractors are fully approved before being scheduled on site. Coordinate with the APM and the internal Compliance team to confirm COIs, badging, certified payroll, and all other compliance requirements are met for both subcontractors and internal personnel before work begins. Compliance Oversight • Own project-level compliance as it relates to scope, schedule, and personnel — both internal crews and subcontractors., • Coordinate directly with the internal Compliance team to ensure all prevailing wage, badging, certified payroll, COI, and regulatory requirements are met and current throughout the project., • Ensure compliance status is confirmed for all parties before mobilization and proactively managed through project completion. Safety • Own safety outcomes at the project level. While the Site Superintendent enforces safety standards in the field daily, the PM is accountable for ensuring the safety program is operating effectively across all assigned projects., • Review safety reports, near-miss documentation, and incident reports as they are submitted. Follow up on any identified hazards or corrective actions with the Site Superintendent., • Ensure JHAs are completed in advance of high-risk work sequences and that the field team is resourced to maintain full safety compliance throughout construction. Permits & Inspections Oversight • Own permit strategy, stamped drawing review, and inspection readiness across all permit types required for the project., • Coordinate with the APM, in-house expeditor, and licensee to ensure all permits are tracked, filed, tested, and inspected on schedule. Commissioning & Closeout • Own startup readiness, service handoff, and final billing. Communicate a clear written plan to the client in advance of all startup activities., • Run the project Handoff Meeting and ensure the complete closeout package — O&Ms, warranties, as-builts, and all required documentation — is assembled before releasing retainage. Team Leadership • Lead and mentor the assigned APM. Delegate administrative responsibilities clearly and hold the APM accountable to their role., • Conduct weekly project reviews with the Site Superintendent covering schedule, cost, field issues, compliance, and safety., • Ensure the field team has everything they need to execute: scope clarity, material readiness, and schedule alignment., • Participate in operational reviews with leadership and contribute to pipeline forecasting by providing accurate project revenue and completion projections. What Success Looks Like in This Role • Projects complete on schedule, on budget, and billing on time — with no surprises to the client., • First-submission requisition approval is the norm, not the exception., • Every change order is identified, priced, and submitted before the work is performed., • The APM is fully operational, the Site Super is aligned, and the PM is not in the field doing tasks that belong to others., • The PM hears about problems from the field first — not from the GC or client. Requirements & Qualifications Required • 5+ years of experience in construction project management focused on mechanical, plumbing, or MEP installations, • Strong knowledge of commercial boiler systems, steam and hydronic heating, domestic hot water, pumps, gas/fuel systems, and applicable NYC mechanical and plumbing codes, • Demonstrated experience owning job financials: pay applications, cost tracking, billing projections, • Experience managing subcontractors: scope leveling, award, compliance, and on-site performance, • Proficiency with project management and field management software (Asana, BuildOps preferred), • Strong written and verbal communication; able to interface with clients, GC partners, engineers, and field crews, • Highly organized, detail-oriented, and proactive — able to manage multiple active projects simultaneously, • Ability to make independent decisions and keep projects moving without waiting to be asked Preferred • Engineering background (MEP, Civil, or related), • Experience on prevailing wage, NYCHA, or affordable housing compliance projects, • Familiarity with DOB permitting processes in NYC What We Offer • Competitive salary commensurate with experience, • Project-based performance bonuses, • Medical, Dental, Vision, Life, and Disability insurance, • 401(k) with company matching (100% match up to 3%, 50% on the next 2%), • 10 days paid vacation, 7 sick days, and paid holidays, • A collaborative, high-performance team environment with direct visibility to leadership, • Opportunity to grow into a Senior PM or leadership role as the company expands Dual Fuel Company LLC is an Equal Opportunity Employer.

Real Estate Leaders: Looking for Something Bigger? Get paid to represent a fast-growing MoveTech startup. We're looking for a senior, entrepreneurial real estate professional with a well-established network to represent one of the fastest-growing MoveTech startups by building partnerships and presenting our platform to the industry. ✔ Freelance. Get paid for every task you complete. ✔ Monetize the network you've spent years building. ✔ Leadership opportunities + potential vested equity. This is a Business Development / Brand Ambassador role - not a real estate sales position. If you're looking for a traditional 9-to-5 W-2 job, this isn't for you. If you're looking to become a key part of a tech company before it takes off, apply now. $250,000+ earning potential.

About OnehouseOnehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! Mission As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution. • Candidate will partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle, • SE responsibilities include communicating product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process, • SE will provide technical leadership and frame Onehouse in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycle, • 2-3 years of experience in pre-sales engineering role., • Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop., • Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies., • Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc., • Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns., • Strong communication skills in explaining technical architecture., • 3-5 years of progressive experience implementing information technology solutions, • Solutions-focused approach that requires in-depth needs analysis (discovery), • Willingness to travel to customers as needed, • Desire to work in fast-paced startup environment where change is constant Competencies Speed and hustle → Ability to run projects from end to end on short timeframe Quick decision making Great communication skills Ability to prioritize internal and external customer • End to end knowledge architecting cloud infrastructure., • Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg., • Experience contributing to open source technologies. Competitive Compensation; the estimated base salary range for this role is $180,000 - $210,000 -Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description VERSANT is an independent, publicly traded company that brings together brands including CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, Golf Channel, Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, part of CNBC, is building the next generation of AI-powered equity research for individual investors. We operate like a startup—small team, high ownership, fast decisions, and direct access to leadership—with the resources and long-term backing of a well-capitalized public company. Our mission is to help individual investors make better investment decisions by combining institutional-quality equity research, quantitative methods, proprietary data, and AI. Job Description We're looking for a highly driven and intellectually curious equity analyst to join our team to build a new generation of AI-powered equity research. This role is designed for investors who still want to apply and sharpen their fundamental research judgment, but who are more excited by building scalable systems than by repeating the same research process company by company, quarter after quarter. It is especially well suited to people who want to future-proof their investing career by learning how great equity analysis gets translated into software, models, and AI-enabled products. You will be instrumental to the team that builds and operates core components of our AI equity research engine: LLM workflows that convert unstructured information into structured signals, and factor models that turn those signals into consistent, scalable outputs for individual investors. You will be working on a small, high-caliber team that brings together top-tier engineering, product, and buy-side talent, including senior analysts with prior experience at firms such as Millennium, Point72, and KKR. Team members are expected to operate with a high degree of ownership and autonomy, contributing directly to core research, product, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Qualifications What We're Looking For: ·Minimum of 2 years of buy-side public markets investing experience (hedge fund, long-only fund, family office, or endowment), with a focus on long-term, fundamental analysis. · Experience working with data. You will closely collaborate with the Engineering team to design and build automated equity analysis features blending LLM-based agentic and quantamental approaches, leveraging a modern and evolving technology stack that is being actively expanded · Systemic, data driven thinker with the ability to productize fundamental research into a repeatable, systematic strategy and a desire to “build the machine that does the job” · Experience contributing to long-term investment theses for a sector or single equity supported by qualitative and quantitative factors · Ability to read financial statements, solid accounting knowledge, experience building three-statements models What You'll Do: · Collaborate to convert equity research insights and conclusions into scalable AI equity research platform features that help individual investors with stock discovery, research, and selection · Design and evaluate LLM-based workflows to process unstructured data, analyze it and translate it into structured metrics and factors · Support the development and evaluation of performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design · Conduct deep research and initiate coverage on public equities across industries · Contribute to stock-picking models that surface the best opportunities to a large retail investor audience and produce structured reports supporting them · Partner with Engineering to implement pipelines (APIs, DAGs, databases), establish reproducible backtests/evaluations, and ship analysis features/capabilities Location & Perks: At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Salary Range: $130,000-$170,000. Bonus eligible. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionCompany Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Senior Product Manager, AI Platform – Equity Research VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel, along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. StockStory, part of CNBC and VERSANT, is building the next generation of AI-powered equity research for individual investors. We operate like a startup—a small team with high ownership, fast decisions, and direct access to leadership—while benefiting from the resources and long-term commitment of a well-capitalized public company. Our mission is simple: help millions of individual investors make better investment decisions. We’re combining AI, institutional-quality investment research, proprietary data, and exceptional engineering to redefine how retail investors discover, research, and evaluate stocks. We’re looking for a Senior Product Manager with deep experience building consumer investing, financial research, or market-data products to help us build a new generation of AI-powered equity research products. This role sits at the intersection of consumer fintech, public equities, financial data, and AI. You will work with a high-caliber team that brings together top-tier engineering and buy-side investing talent, including analysts with prior experience at firms such as Millennium, Point72, and KKR. In this role, you will own and shape core product experiences across our AI equity research platform, particularly products that help investors discover stocks, conduct research, compare opportunities, understand investment theses, and build conviction. These may include AI-powered research reports, stock recommendations, screeners and discovery tools, company pages, watchlists, portfolio insights, and conversational research experiences. This is a hands-on product role for someone who wants to stay close to users, product details, data, and execution. You do not need to have worked professionally as an equity analyst, but you should be an active individual investor with strong public-markets fluency. You should understand how investors move from discovering a stock to researching the business, evaluating valuation and risk, comparing alternatives, and ultimately making an investment decision. You will identify the highest-value customer problems, define product requirements, validate assumptions with users and data, and partner closely with Engineering, Design, Data, and Equity Research to ship experiences that make institutional-quality research accessible and actionable for a large retail investor audience. The team is part of a new organization, which means you will have meaningful influence over both the products we build and the product culture we establish. We believe in deeply understanding customer needs and behaviors, empowering product teams to solve meaningful problems, shipping useful products quickly, and iterating based on real user feedback and behavior. This is an opportunity to take significant ownership early and grow quickly as the platform and team scale. What You’ll Do • Own and evolve core stock research and discovery experiences across StockStory’s AI-powered investing platform., • Develop a deep understanding of our users through regular interviews, usability testing, behavioral analysis, and other forms of product discovery., • Study how individual investors discover ideas, research companies, evaluate financial performance and valuation, compare stocks, build conviction, monitor investments, and make buy/sell decisions., • Translate customer problems, investing workflows, competitive insights, and behavioral data into clear product opportunities, requirements, roadmaps, and execution plans., • Partner closely with Engineering, Design, Data, and Equity Research to build products that combine AI, financial data, and expert investment research into simple and compelling consumer experiences., • Play an integral role in defining our AI product experience, including how AI-generated research and recommendations communicate reasoning, evidence, sources, assumptions, uncertainty, and risk., • Help establish product standards for trust and quality in AI-generated financial research, working with our investment and technical teams to determine how outputs are evaluated before and after launch., • Build and improve products such as AI research reports, stock discovery and screening tools, company research experiences, investment recommendations, watchlists, portfolio insights, and conversational research interfaces., • Define clear success metrics for the products you own, including relevant activation, engagement, retention, conversion, and research-behavior metrics., • Analyze funnels and user behavior, run experiments, synthesize qualitative and quantitative feedback, and iterate quickly based on what users actually do., • Maintain a strong understanding of the competitive landscape across consumer brokerages, investing platforms, financial research products, market-data tools, and emerging AI investing products., • Communicate product strategy, priorities, tradeoffs, decisions, results, and progress clearly across Product, Design, Engineering, Equity Research, and senior leadership.Qualifications What We’re Looking For • Minimum of 5 years of product management experience, including meaningful experience building B2C consumer-facing products serving retail or individual customers., • Demonstrated experience owning products used by self-directed retail investors, ideally across one or more of the following areas: stock discovery, screeners, equity research, market data, company/fundamental data, watchlists, portfolio analytics, investment recommendations, financial news, or AI-powered investing tools., • Strong public-equities fluency. You should understand financial statements, earnings, valuation multiples, consensus estimates, catalysts, investment theses, and the basic process investors use to evaluate public companies., • Proven ability to take consumer product features from discovery through launch and iteration, including customer interviews, problem definition, PRDs/product requirements, prioritization, engineering execution, launch planning, experimentation, and post-launch measurement., • Experience building high-engagement consumer or subscription products, with a strong understanding of activation, engagement, retention, conversion, and the behaviors that drive recurring product usage., • Strong quantitative product instincts and experience using behavioral data, funnels, cohort analysis, experimentation, and product metrics to make decisions and evaluate launches., • Experience working with data-intensive products and translating complex information into consumer experiences that are intuitive, useful, and trustworthy., • Experience building AI-powered consumer products or features is strongly preferred. You should understand the opportunities and product challenges associated with LLM-generated content, including accuracy, explainability, source attribution, user trust, latency, and evaluation., • Exceptional product judgment and attention to detail. You should be able to combine customer research, quantitative evidence, competitive insight, and your own judgment to determine what should—and should not—be built., • Excellent written and verbal communication skills, with the ability to clearly articulate user problems, product rationale, requirements, tradeoffs, metrics, and launch plans to both technical and non-technical stakeholders., • High agency and a builder mentality. You are comfortable operating with incomplete information, making decisions, getting into the details, and moving quickly in an early-stage environment. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionCompany Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You’ll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. • You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors., • This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers., • Design, implement, and maintain production ML and AI systems used at scale, • Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring· Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality, • Solve complex technical problems with moderate ambiguity and strong business impact, • Participate in code reviews and incident retrospectives to improve system quality and reliability, • Support the team’s overall technical growth, • Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues, • Use and improve model lifecycle management, monitoring, and evaluation frameworks, • Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures, • Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction, • Experience with training pipelines using frameworks such as TensorFlow or PyTorch, • Experience building human-in-the-loop training or evaluation workflows, • A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: • Bachelor’s degree in Computer Science or equivalent practical experience, • Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems, • Experience building and operating production ML systems, • Strong proficiency in Python, TypeScript, or Java, • Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP, • Solid understanding of modern ML techniques, including deep learning and representation learning, • Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionCompany Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: • Bachelor’s degree in Computer Science or equivalent practical experience, • Minimum of 5 years of experience designing, building, and maintaining software systems, • Strong backend expertise in at least one strongly typed language, preferably TypeScript, • Solid understanding of cloud computing primitives, especially AWS, • Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation, • Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph, • Experience contributing to system design and technical decision-making, • Experience shipping and operating multiple GenAI or LLM-powered systems in production, • Hands-on experience debugging scaled LLM systems and participating in incident response, • Experience building RAG pipelines using embeddings and vector databases, • Familiarity with fine-tuning or adapting models for specific tasks, • Experience implementing evaluation pipelines, including human-in-the-loop workflows, • Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: • Build end-to-end distributed agentic AI solutions that are reliable and scalable, • Own complex features or subsystems from design through deployment and operation, • Collaborate cross-functionally to integrate AI capabilities into products and data pipelines, • Contribute to architectural decisions and technical standards for AI systems, • Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response, • Support the team’s overall technical growth, • Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues, • Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: • Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems, • Proven experience designing and deploying LLM-based or GenAI systems in real-world applications, • Strong programming skills in Python and experience with modern backend architecture and distributed systems, • Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies, • Experience building scalable data pipelines and working with large, messy, or unstructured datasets, • Ability to design systems with strong observability, reliability, and performance characteristics in mind, • Experience working in cross-functional environments and leading technical projects end-to-end, • Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments, • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders, • Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description HVAC Controls Engineer - White Plains, NY Our client is a Leading Engineering Design and Commissioning Company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the Critical Facilities Space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services for Enterprise, Colocation and Hyperscale Companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. The ideal candidate will have previous experience with the design, construction, integration, and commissioning of Controls and Building Automation Systems (BAS systems) as it pertains to Mechanical / HVAC equipment design in a data center environment. The candidate shall have the expertise to lead the design of new systems and make upgrades to existing automation systems for HVAC and critical cooling systems in the mission-critical environment. The candidate may need to assist in complete startup, commissioning, and validation procedures of these systems. The candidate will need to collaborate with the Electrical and Mechanical Engineering teams, for design sequences, powering of equipment, etc. Responsibilities: • Execute and lead automation design teams of complex scope, and coordinate activities with other disciplines as needed, • Mentor mechanical engineers and assist with training on controls design and development., • Design and implement front end platforms for HVAC controls., • Develop and improve configuration, programming, networking, and diagnostic standards, • Engineer and Implement programming, • Lead creation of modification of programming logic to meet sequence of operations / SOO / Methods of Procedures / MOPs, • Design control, monitoring and systems integration of HVAC / mechanical equipment / systems, • Maintain and deploy updated versions of applications for existing control systems with minimal supervision, autonomous in day-to-day work with being given high level instruction on projects or assignments, • Work with leading edge automation systems from large scale controls vendors;, • Lead development design and continuous improvement of configuration, programming, networking, and diagnostic standards;, • Lead design of controls for centralized chilled water plans condenser water plants, etc., • Review engineered shop drawings and submittals - sequence of operations, installation drawings and point lists, • Participate in building automation focused design reviews, • Assist in the design, configuration, programming, and diagnostics / troubleshooting of BAS networks, • Understand IT / OT interface requirements including routers, switches and network addressing, • Assess, recommend, and implement industry best practices into new and existing Critical Environment Programs, • Develop process documentation and training materials, • Communicate regularly with internal and external stakeholders, subcontractors, project managers, AEs, Controls vendors, GC's and commissioning agents on project progress, • Assist / Develop all project communication and reporting, weekly progress reports, etc. Qualifications: • BA / BS in Engineering or relevant degree a Huge Plus, • Licensed PE / EIT / Certifications a Plus, • Data Center Engineering experience with Automation and Controls Experience, • Experience integrating PLC / ALC with complex data center / mission critical facilities, • 5-10 + years with BMS / BCM / BAS Systems (Building monitoring systems / building control systems / Building Automation Systems, • Previous experience working on Controls Products from companies such as: Johnson Controls / JCI; Siemens; Automated Logic; Honeywell; GE Control Systems; Schneider Electric, • Ability to read and audit one-lines / blueprints / CAD drawings and controls diagrams, • PLC / ALC Programming Experience, • Experience with Controls systems design as it relates to: Critical HVAC equipment (Chillers, Air Handlers, CRAC / CRAH units, Boilers, etc.), • Experience working with common BAS protocols BACnet IP, BACnet MSTP, Modbus RTU, Modbus TCP, etc., • Skilled at reviewing design drawings and equipment submittals, • Client facing experience and at times serve as primary point of client contact on various projects, • Ability to successfully work independently; Self Starter and should prioritize well, • Effective communicator - both oral and written form (tech and non-tech), • Proactive, resourceful, delegator and a multitasker, • Exceptional organizational skills with an attention to detail, • Skilled in completing assignments accurately and in a timely manner, • MS Office Suite (Excel, Word, Outlook, PowerPoint, Teams), • Superior analytical, planning and problem resolution skills, • Must be able to provide necessary pro-active recommendations to clients, • Knowledge of general computer hardware & software applications, • Travel: 5% / Minimal travel if located near NYC or LA Submittal Instructions: Please apply directly by clicking the link below, alternatively you can forward your resume directly to: kssd3jzhg8fmr3753eaa1ebw9o@crelate.net After applying, if you have further questions, you may call 973-895-5200 and ask for Iggy. You can also submit via our career portal and take a look at other Critical Facility openings we are working on at, https://www.pkaza.com/jobs/ If this job is not for you, feel free to forward this along. WE PAY FOR REFERRALS!! Company offers competitive salaries and benefits package including medical insurance, a 401(k) plan EOE/AA Employer M/F/D/V Pkaza LLC is a third-party employment firm. All fees assessed by Pkaza LLC will be paid by our employer that we represent and not by the candidate

Job Description Visit.org is looking for a passionate and ambitious Logistics Associate to join our team. The Logistics Associate will support the smooth and efficient movement of goods and materials throughout our supply chain. In this role, you will help coordinate shipping and receiving activities, manage inventory, prepare documentation, and collaborate with internal teams and external vendors to ensure timely deliveries. The right candidate also has an entrepreneurial spirit, extreme passion for our mission, and the energy and discipline to come in and be a builder in a start-up tech environment Please note: This is an on-location, full-time role based in Northvale, New Jersey, with a competitive salary and health benefits. What Motivates Us There is room for everyone! We empower each other to innovate and create processes that use technology to generate meaningful, lasting change. We enjoy the challenge of finding solutions to problems that are not a way around it but through it. We’re driven by the opportunity to help enterprises and their employees around the world to contribute to their communities. When You Join the Team • You’ll join a movement from the ground floor and a team of purpose-driven people with a strong sense of responsibility, ownership, and pride that we’re building this thing together., • You’ll combine passion, purpose, and a paycheck—Visit.org team members get out of bed every day knowing their work is meaningful and has a tangible impact on individuals and communities around the world. About Visit.org: Visit.org is a women-led Certified B Corporation that designs and delivers full-scale volunteering programs for global companies, with volunteering experiences built with vetted nonprofit partners and rooted in real community needs in 100+ countries and 40+ languages. Trusted by teams at companies like Amazon, Colgate, Paramount, and Cisco, Visit.org acts as an extension of lean CSR teams to run global volunteering that employees love and nonprofits trust. Responsibilities: • Support day-to-day logistics operations, including shipping, receiving, and inventory control, • Assemble and pack kits and materials into boxes for shipment, • Track shipments and update internal systems with delivery status and documentation, • Communicate with carriers, vendors, and suppliers to resolve delays or issues, • Prepare and process shipping documents (e.g., bills of lading, invoices, customs forms), • Assist with warehouse coordination and inventory audits, • Manage printed materials, ensuring they are correctly prepared, packed, and included in shipments, • Maintain accurate records of all logistics-related transactions, • Collaborate with other departments (e.g., Procurement, Customer Service, Sales) to meet delivery timelines, • Help identify and implement improvements to logistics processes, • Ensure compliance with company policies and regulatory guidelines Requirements • 1 to 3 years of experience in logistics, supply chain, or related field, • Strong organizational and time management skills, • Excellent written and verbal communication, • Proficient in Microsoft Office and logistics software (e.g., ERP, WMS), • Ability to multitask and stay calm under pressure, • Detail-oriented with a proactive approach to problem-solving, • Familiar with and excited to work in a fast-paced startup environment, • Physical Demands:, • Lift up to 49 pounds and frequently push, pull, squat, bend, and reach, • Stand/walk during the entire span of the workday, • Work in an environment where the noise level varies and can be loud, • Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments), • Continuously climb and descend stairs (applies to sites with stairs), • Experience working in a fast-paced startup environment, • Passion for our mission and the desire to make an impact in the world through technology What we offer: This is an on-location, full-time role based in Northvale, New Jersey, with a competitive salary and health benefits. Benefits How we care • Health, Dental, Vision, • Unlimited PTO, Holiday, and Birthday off!, • Unlimited Social Impact Time Off (SITO), • A company-wide annual paid holiday break between Christmas and New Year’s Eve to rest and recharge, • Competitive salary, • Mission-aligned company events/volunteering, • Inclusive, exciting startup culture, • Accelerated career & personal growth, • Culture Club and more! Salary range from $38,000 to $44,000 DOE; however, base pay may vary depending on job-related knowledge, skills, and experience. A range of benefits may include equity, healthcare benefits, and paid time off, which may be provided as part of the compensation package.

About Grubhub At Grubhub, we believe food is more than just a meal: It’s a source of discovery, connection, and pure enjoyment. There’s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We’ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate—from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve. About the Opportunity Grubhub is looking for a Staff Machine Learning Engineer to help lead the machine learning engine behind Discovery: the ranking, recommendation, and retrieval systems that decide what every diner sees when they open the app or run a search. These models sit on the critical path to conversion for hundreds of thousands of merchants and hundreds of millions of menu items, and they are one of the largest organic growth levers we have. This is a hands-on technical leadership role, not a management role. You will own model architecture across several connected technical areas: search ranking, homepage and topic recommendations, retrieval, and query understanding. You will be accountable for how those pieces fit together, not only for any single model. You will set technical direction alongside other staff engineers, product managers, and platform partners. You will raise the bar on how the organization builds, evaluates, and operates models, and mentor the engineers around you through design reviews, code reviews, and direct feedback. We expect you to challenge technical decisions across teams when the engineering case is clear, and to bring evidence when you do. Our team practices end to end project ownership, and our work focuses heavily on personalized recommendation, retrieval, and classification from catalog content and clickstream. Deep neural networks, learned embeddings and approximate nearest neighbor retrieval, transfer learning from pre-trained large scale models, calibration, classic regressions, fine tuning, and large language models all have a place in our daily lexicon. The Impact You Will Make • Own the architecture of our ranking and recommendation stack end to end: candidate retrieval, multi-objective ranking, calibration, and the ensemble that trades conversion against profitability. Make the cross-system design calls that no individual model owner can make alone., • Lead the evolution of our optimization objective from short-term conversion toward long-term diner value, including the offline evaluation and online experimentation work required to trust the result before it ships., • Bring state of the art research in information retrieval and recommender systems into our runtime environment: LLM-driven query and intent understanding, embedding-based retrieval, sequential user representations for cold start, and real-time inference. Assess rigorously what actually transfers to our traffic, and say no to what does not., • Raise engineering and operational standards across multiple teams: model evaluation and scorecards, reproducible training pipelines, safe deployment, SLOs and observability for tier-1 models, and proactive management of technical debt before it becomes urgent., • Partner with Product, Search Engineering, Ads, and Data Platform to shape roadmaps, surface risk early, and make sure the data and infrastructure exist before the model needs them., • Mentor senior and mid-level engineers, participate in hiring, and grow the technical depth of the team so that no critical system depends on a single person., • Translate technical trade-offs into business terms for product and executive stakeholders, and document the rationale clearly enough that decisions outlive the people who made them., • Question existing assumptions, look for the innovation we are not yet pursuing, and relentlessly analyze and improve the performance of our business. What You Bring to the Table • MS/PhD in a quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field) or equivalent experience, • 6+ years building and shipping machine learning systems, including 3+ years operating at senior-level scope: setting technical direction across multiple teams, model families, or systems, • Deep experience in recommendation systems, ranking, or information retrieval at scale, in production and under real latency and cost constraints, • Proven track record with production deep learning in TensorFlow or PyTorch, including training, serving, and tuning runtime models on GPUs, • Experience with Large Language Models and transformer-based architectures, including fine-tuning, embedding generation, and deploying them in latency-sensitive applications. Experience with language understanding over imperfect grammar (real-world search queries, menu and catalog text) is a strong plus, • Strong data engineering fundamentals: PySpark, Hive/SQL, the Python data stack, and feature pipelines you can debug as well as build, • Fluency with experimentation: designing A/B tests, choosing the right guardrails, and recognizing when an offline metric is misleading you, • Experience with cloud ML infrastructure (AWS/SageMaker or equivalent), model deployment, and production monitoring and observability, • Demonstrated technical leadership: mentoring engineers, driving design and architecture reviews beyond your own team, and influencing decisions without direct authority, • Comfort communicating performance metrics, model behavior, and technical trade-offs to both deeply technical and non-technical audiences, up to and including executive stakeholders, • Ability to keep up with the latest research publications and synthesize them into working production systems, • Deep interest in self-motivated continuous learning Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. New York: $208,500 - $225,000 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands. Eligibility, effective dates, and available plan options vary by employment classification and location. To learn more about benefits for this role, visit our Careers page here. A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on 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. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

Former CTO Base salary: $200K to $300K plus equity Location: New York, 4 days in person | Full time The best startup problems are specific enough to see and important enough to matter. Here, the problem is how a city knows which road needs work next. Covington, Kentucky, is bringing the platform into pavement planning, and Alexandria, Kentucky, reports a major reduction in manual survey work. Bring founder-level judgment to the next customer problem and build the answer. We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets. The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory. What you'll own Work directly with the founder and public works teams to decide what should exist, then build it. The role reaches from customer discovery and product strategy into interface, backend, data, and production support. • Find the customer pain with the greatest operational and business value., • Run quick tests before committing the team to a larger build., • Ship software that connects evidence, condition, plans, and work., • Create simple engineering habits that support speed and accountability. Problems you'll solve Cities vary in their records, budgets, and approval processes. You will identify what should become a repeatable product and what needs a careful local workflow, while keeping the evidence behind every recommendation visible. Candidate fit • You founded a company or owned broad scope at an early startup., • You still love writing, reviewing, and debugging code., • You can move from a customer conversation to production with a small team., • You can work alongside the founder in New York in person 4 days per week. Role details • Base salary: $200K to $300K, plus founding team equity., • Full time, New York, 4 days in person., • Work directly with the founder and a small engineering team., • Core stack: React, TypeScript, Mapbox, Express, geospatial data, and practical infrastructure., • Visa sponsorship has not been confirmed; please ask if this affects your search. Apply Tell us about a product you personally shipped, the customer problem it solved, the technical decisions you owned, and what happened when people used it. We are especially interested in how you handled imperfect information and what you changed after launch. Exclusively represented by ⚡dynamism This search is led exclusively by ⚡dynamism, a community of exceptional builders, founders, and investors that includes YC alumni, Thiel Fellows, and AI lab researchers. We connect ambitious engineers with career-defining roles at breakout companies backed by leading funds including Y Combinator, a16z, and Sequoia. Learn . If you believe you’re a particularly strong fit, email Richard directly at .

Software Engineer Location: New York City Employment Type: Full-time Experience: 2+ years Focus: AI-Native Engineering, GTM Automation, Revenue Technology, Full-Stack Product Engineering About Our Client Our client is building an AI-powered platform that helps go-to-market teams turn customer interactions into structured data, insights, and intelligent action. Their AI agents help sales and revenue organizations execute faster, learn continuously, and make every deal cycle more efficient and predictable. The company is building at the intersection of AI, automation, conversational intelligence, and the modern revenue stack. This is an opportunity to join a fast-growing, venture-backed startup with strong product-market fit, a sharp technical team, and a mission to redefine how revenue teams work. About the Role Our client is hiring a Software Engineer to help design, build, and scale core product features across the platform. This is a high-ownership engineering role for someone who can take ambiguous product requirements, break them down, design a clean solution, ship production-quality code, and own the feature through launch, monitoring, and iteration. The team works AI-first. Engineers are expected to use LLMs, coding agents, and AI-assisted workflows to move quickly without sacrificing quality, reliability, or long-term maintainability. What You’ll Do • Own product features end-to-end, from problem definition through design, development, testing, launch, monitoring, and support, • Break down product requirements into clear technical plans and shipped outcomes, • Build simple, elegant systems and write high-quality code that other engineers can easily understand and extend, • Collaborate closely with product, design, and engineering to turn ideas into production features, • Influence product direction with your own ideas and identify ways to improve user workflows and business processes, • Balance immediate business needs with long-term architecture and platform quality, • Build across backend, frontend, infrastructure, and AI systems depending on the problem, • Use AI tools, LLMs, and agents as part of the software development lifecycle, • Build testing, monitoring, and reliability into the way features are shipped, • Help scale a platform used by modern go-to-market teams to improve sales execution and customer intelligence What We’re Looking For • 2+ years of professional software engineering experience, • Fluency with AI-forward software development workflows using LLMs, agents, or AI coding tools, • Experience building production-grade software without sacrificing quality for speed, • Strong fundamentals in software design and knowing when to apply patterns like SOLID or similar principles, • Ability to take ambiguous problems and turn them into well-reasoned designs and shipped solutions, • Comfort owning features end-to-end across frontend and backend systems, • Strong autonomy, ownership, and bias toward action, • Experience building, launching, and maintaining products in fast-paced environments, • Strong collaboration skills across product, design, engineering, and customer-facing stakeholders, • Grit, adaptability, and comfort navigating ambiguity in an early-stage environment Technical Experience Our client is especially interested in engineers with experience in one or more of the following areas: • Go or another strongly typed backend language, • Distributed systems, infrastructure, or scaling, • LLM harnesses or agentic systems, • Concurrent or asynchronous processing, • Testing, monitoring, observability, and reliability, • Full-stack product engineering Technical Environment Relevant technologies include: Go, PostgreSQL, Kubernetes, AWS, Kafka, Redit, Temporal Workflows, React, Tailwind, Next.js, GraphQL, LLMs and AI Agents. Experience with every tool is not required. Strong engineering fundamentals, product ownership, and AI-native development ability matter more than exact stack match. Why This Opportunity • Join a fast-growing AI startup with strong product-market fit, • Build at the intersection of AI, automation, conversational intelligence, and revenue technology, • Work on products that help sales and go-to-market teams operate faster and smarter, • Own meaningful features from concept through production, • Use AI-native engineering workflows as a core part of daily development, • Work with a sharp, collaborative team of repeat founders and experienced engineers, • Help shape the future of how revenue teams turn conversations into action Benefits • Competitive salary and equity, • Choice of new equipment and software, • Health, dental, and vision insurance, • High autonomy and ownership at work

Product Engineer | $220k - $300k Some engineering jobs are about maintaining what already exists. This one is about deciding what exists next. I'm working with a well funded, early stage AI company in NYC that is taking on a huge, established industry and rebuilding it from the ground up. The company has raised significant venture backing, is growing quickly, and has deliberately kept the engineering team small. That's important. Because if you join now, you won't be engineer number 147. You'll be one of the people deciding how the product works, how the technology evolves and, ultimately, what the company becomes. They're looking for an exceptional Product Engineer who wants to operate at the sharp end of a company. • Someone who has probably spent time in a startup before., • Someone who doesn't need a PM to tell them exactly what to build., • You might spot something broken in the user experience in the morning, spend the afternoon building the fix, and have it in front of customers that evening., • You will work across product, engineering and AI., • You'll have access to the founders., • You'll talk directly to users., • You'll own things from the first idea through to production., • And you'll be expected to have opinions. The company is using AI to fundamentally change how an entire professional service is delivered. That means the engineering problems aren't particularly ordinary. AI agents that actually do useful work. Products that understand context rather than simply displaying information. Interfaces that adapt intelligently to the person using them. Systems that turn huge amounts of messy real-world data into something genuinely useful. And plenty of problems that haven't been solved yet. That's the attraction. There is no playbook. Who I'm looking for; You don't need to have worked at a famous company. In fact, I'd rather speak to someone who has built something from scratch. You might be: • A strong product minded engineer at a startup, • An early engineer who has helped take a product from 0→1, • A full-stack engineer who wants considerably more ownership, • An engineer from a high growth environment who is ready to get much closer to the actio You should be technically excellent, commercially curious and comfortable with ambiguity. You should enjoy building. And you should care about the thing you're building; not just the code. Why now? Because this is the point where joining a company can still change your career. The team is small. The product is moving quickly. The funding is there. The ambition is enormous. And there is still plenty left to define. You can join when your decisions actually matter. NYC; full-time in office. If you're an exceptional engineer who has been through a startup and wants to get much closer to the founders, the product and the opportunity, I'd like to speak. Apply below or message me directly. Gareth Fudo Partners

Sales Development Representatives "SDRs" are the tip of the spear and one of the most essential pieces in a successful sales team. We will guide you in finding success as an SDR and help you continue to grow as a sales professional! You will have an opportunity to work with sales leaders and founders of the company to continuously learn and grow. We are always looking to promote rockstars! Key Responsibilities We are a startup at the end of the day so we wear a lot of hats! Some expected parts of the role are as follows: • Prospecting and generating leads from a variety of sources, • Collaborating and working with an experienced Account Executive to strategically land outbound prospects and accounts, • Qualifying prospects and collecting as much critical information necessary to best prepare the Account Executives for the next meeting, • Collaborating with marketing and other cross functional teams to help align messaging and drive more interest, • Providing initial demos of the Uncountable platform (If someone says, “Show me what you got,” you need to be ready!), • Leverage sales tools: SFDC, Zoominfo, Linkedin Sales Nav, and Gong., • Learn about the industries we serve: materials science, chemistry, and biology., • Exceed your goals and work towards a merit-based promotion., • Attend conferences around the country. We are looking for • A hard-worker. You are in a startup and might take on roles that are outside of your job description. If you hustle and continue to improve, you’ll succeed., • Experience in cold outreach means you know what it's like to have monthly quotas and how to reach goals., • Data-driven decision-making - You’ll have a bunch of leads to work through, and not everyone can be sequenced. Stay organized and make smart decisions!, • Eagerness to learn and continue to improve, • Availability to travel 25% of the time Preferred Qualifications • Understanding/some experience with outbound prospecting, • Past experience working in a start-up, • Business Background or knowledge of chemistry, materials science, or a science-related subject Work Authorization Please note: We are unable to provide work visa sponsorship for this role. Candidates must be authorized to work in the US. Salary & Compensation Salary, Commission/Bonus, & Equity ($80-$100k OTE)

Applied AI Engineer, Agents & Evaluation Compensation: $200k–$250k base + equity Location: New York City — fully onsite, 5 days per week Employment Type: Full-time Company: A fast-growing, seed-stage AI startup building claims intelligence technology for the property & casualty insurance industry. This team is applying AI to one of the most complex and adversarial problems in insurance: investigating potential fraud across large volumes of claims, documents, people, businesses, contractors, and associated data. With the core backend, document-processing, extraction, and traditional ML infrastructure already in place, the company is now building a new generation of agentic systems on top of that foundation. They’re hiring an Applied AI Engineer, Agents & Evaluation to own both how these agents behave and how the team proves they are working reliably in production. What You’ll Do • Design, build, and iterate on production AI agents, including tools, context management, orchestration, prompts, and guardrails., • Own the evaluation infrastructure used to measure agent quality before changes reach production., • Partner directly with fraud investigators to define what a high-quality investigation looks like and translate that into evaluation criteria., • Build golden datasets, LLM-as-judge systems, rule-based graders, regression suites, and other evaluation harnesses., • Develop dashboards that make agent quality and failure modes understandable to both technical and non-technical stakeholders., • Instrument production agents across traces, tool calls, latency, cost, and model behavior., • Turn real production failures into new test cases and continuously improve the evaluation suite., • Evaluate new models and providers end-to-end and own production rollouts when the team changes its underlying model stack., • Partner closely with backend and ML engineers on the systems and data pipelines that agents rely on., • Build for a high-stakes environment where false findings matter and reliability is a core product requirement. What You’ll Bring • 6+ years of experience building production software, ideally with a strong backend engineering foundation., • Excellent Python skills and strong software engineering fundamentals, including testing and production reliability., • Hands-on experience shipping LLM-powered agents into production., • A clear understanding of why production agent systems succeed or fail beyond the demo stage., • Experience building evaluation datasets, graders, regression frameworks, or evaluation harnesses and using the results to drive product or engineering decisions., • Strong understanding of tool-using agents, orchestration patterns, and emerging agent protocols and frameworks., • Experience balancing rapid experimentation with production hardening., • Evidence of meaningful individual ownership over systems used by real customers or internal users., • The ability to work closely with domain experts and turn ambiguous real-world workflows into measurable AI systems Why Join? This is an opportunity to own the complete applied AI feedback loop: defining what “good” looks like, building the agents that perform the work, measuring their performance, observing them in production, and turning failures into better systems. You’ll be solving problems where evaluation goes far beyond benchmark scores. The agents operate in complex investigations involving incomplete information, interconnected entities, and potentially adversarial behavior, meaning accuracy and reliability have genuine real-world consequences. About People In AI People In AI is a specialist recruitment business dedicated to connecting exceptional AI, Machine Learning, Data, and Software Engineering talent with some of the world’s most ambitious technology companies. We work closely with high-growth startups and established organizations building at the forefront of AI, helping candidates find roles where they can make a meaningful technical and commercial impact.

About the Role Ring Concierge is a rapidly growing fine jewelry company specializing in engagement rings and fine jewelry. We are looking for a Customer Care Manager to lead the day-to-day execution of our Customer Care function, manage our external Customer Care team, and keep every customer interaction aligned with the Ring Concierge brand and service standards. The ideal candidate is an experienced customer service professional who is highly organized, solutions-oriented, and comfortable balancing vendor management, customer escalations, reporting, and process improvement in a fast-paced environment. Responsibilities Vendor Management • Own the relationship with our external Customer Care vendor, managing day-to-day performance, coaching, and accountability to our service standards and KPIs, • Act as the first line of escalation for complex customer situations, determining appropriate resolutions before looping in senior leadership or other internal teams, • Serve as the voice and brand expert for the team so every customer communication reflects our tone, policies, and product knowledge, • Manage team scheduling and coverage based on ticket volume, launches, promotions, holidays, and peak periods, and proactively adjust for coverage gaps Customer Care Policy & Standards • Define and maintain Customer Care policies (returns, exchanges, repairs, warranty, etc.) and train the team on how to apply and hold them with customers., • Maintain a high level of product and policy knowledge and keep the team current on important business updates, • Identify recurring customer issues and feedback trends and recommend process, policy, or operational improvements Training, Quality, and Reporting • Develop, maintain, and continuously improve Customer Care SOPs, macros, training materials, and internal resources., • Lead ongoing training on new policies, products, promotions, systems, and processes, • Regularly audit customer interactions across Gorgias, including email, chat, phone, and other channels, and provide actionable feedback to improve quality and consistency, • Monitor Customer Care KPIs, service levels, ticket volume, response and resolution times, and escalation trends, and prepare regular performance reporting, • Support development of AI-powered Customer Care tools so automated responses reflect our voice, policies, and service standards Cross-Functional and Operational Support • Partner closely with Operations, Retail, E-commerce, Merchandising, Bridal, and other internal teams to keep the Customer Care team informed and aligned., • Manage custom order support including CADs/renderings and appraisals, keeping customers informed at each stage, • Partner with our warehouse and shipping/insurance partners on client-related inquiries and claims, including missing shipments, item discrepancies, return-to-sender packages, return escalations, and filed claims, • Provide additional hands-on Customer Care support during high-volume periods when needed About You • Strong communicator who sets clear expectations and holds an external partner accountable to service standards, • Confident handling complex customer situations and determining appropriate resolutions, • Highly organized and process-oriented, comfortable managing multiple priorities in a fast-paced environment, • Comfortable working independently while managing an outsourced team, knowing when to escalate and align with management, • Collaborative across departments and adaptable as priorities, products, and policies evolve Requirements • 5+ years of experience in Customer Care within a jewelry company required, • Previous experience managing, coaching, or providing day-to-day oversight of a Customer Care team, including outsourced or vendor-managed teams, • Experience with customer service platforms such as Gorgias or similar ticketing systems, • Experience with Shopify and other e-commerce platforms is a plus, • Strong proficiency in Excel/Google Sheets, Microsoft Office, and Google Workspace, • Experience creating reporting, SOPs, training materials, and quality assurance processes, • Bachelor's Degree preferred Details • Full-time role located in NYC, requiring 4 days per week in office, • Office Hours: 9:00 am to 6:00 pm, with the knowledge that we have a startup culture and your day may extend past listed office hours (with the possibility of weekends during busy season or sales), • Must be available to provide evening, weekend, and holiday coverage during peak periods, including major promotions, launches, and the holiday season, • Health, Vision & Dental Insurance for full-time employees, • Generous employee discounts on our fine jewelry, • Paid time off, Summer Fridays, and an extra allowance of 3 days annually for religious observances, • Compensation for the role will be determined based on the candidate's qualifications, skills, and experience. The estimated annual compensation for this role is $90,000+

AI Software Engineer Location: New York City, NY Work Model: Hybrid, NYC office Compensation: Up to $250,000 base salary plus equity Authorization: No sponsorship available (if you need sponsorship post OPT, this cannot be provided) Job Description We’re partnering with a fast-growing Series B startup building the infrastructure layer that transforms complex APIs into live, interactive product experiences. Instead of static documentation or one-off demos, their platform enables AI and API-first companies to generate dynamic, production-grade demo environments directly from their systems. As an AI Software Engineer, you will help design and scale backend systems powering interactive AI-driven workflows. This is a product-focused, systems-heavy role centered on building scalable infrastructure, not model research or training. You will operate at the intersection of AI systems, platform engineering, and developer tooling to abstract complex APIs into reliable, real-time experiences used by customers globally. What You’ll Do • Build and scale backend systems supporting AI workflows, • Integrate and abstract AI and LLM APIs into configurable environments, • Design systems for performance, reliability, and scalability, • Partner with product and frontend teams to ship end-to-end features, • Contribute to core platform architecture as the company grows Requirements • Built AI features for design tools (e.g. auto-layout, design-to-code, style transfer), • Created developer copilots (e.g. natural language to UI, code completion, intelligent suggestions), • Worked with vector graphics, color palettes, or typography AI, • Integrated AI into design systems, no-code tools, or IDEs, • Used GPT-4, Claude 3+, and open-source models in production, • Built advanced prompt-engineered workflows that balance creativity and accuracy, • Worked with ASTs, design tokens, or component trees, • Made AI outputs context-aware (e.g. understanding canvas or code state) Nice to Have • Experience building developer tools or platform products, • Exposure to workflow orchestration or real-time systems, • Previous startup experience Why Join • Series B company with strong traction and product-market fit, • Core platform role with real architectural influence, • High ownership and direct product impact, • Build infrastructure that makes AI products tangible and interactive, • Competitive compensation up to $220,000 base plus equity, • NYC team with meaningful in-person collaboration, • Opportunity to help define a new category at the intersection of AI and product infrastructure

Founding Backend Engineer | Seed-Stage Sports Fintech NYC Onsite | $200k + Equity DevLogic has partnered exclusively with a seed-funded startup in New York building a consumer investment platform in the sports space. They're hiring their first full-time backend engineer to own the core of the platform. The company • Seed round closed, backed by investors from the world of professional sport, • Regulated by the SEC, after an approval process that took over six months. That's a barrier most competitors won't get past., • Built-in network effects: once fans and athletes are on the platform, there's little reason to leave, • Not an AI company. They use AI to build, but the product is about sport and real money, a market that keeps growing whatever happens to the AI hype cycle, • Live with real users and real athletes signed The role You'll own the backend. You'll work directly with the CTO, who has built across consumer, B2B SaaS and fintech. Nobody will hand you a ticket list. The expectation is that you decide what matters most, explain why, and see it through from start to finish. What you'll work on • Designing the backend architecture as the platform scales, • Building the systems that move customer money from their bank into escrow with regulated partners, • Making sure every dollar is tracked correctly, with nothing lost or double-counted, • Fraud prevention, and making sure legal records are signed and attributed to the right people, • Integrations with brokerage, banking and transfer agent partners Stack: TypeScript and Node.js. If your background is Python, Go, Java or similar, that's fine. Strong backend fundamentals matter more than the language. What they're looking for • 4+ years of backend or software development experience, • You've built and owned a serious backend system, not just one small piece of it, • Experience integrating with third-party APIs, ideally financial ones, • Fintech experience (payments, brokerage, ledgers, money movement) is a big plus but not a must, • A clear communicator who's comfortable working directly with founders, • A genuine interest in sport, or at least real curiosity about the space You don't need to have worked at an early-stage startup. If you're at a mid-stage company or in big tech and want your work to actually move the business, this is worth a look. What to expect • 45 to 55 hours a week depending on the week. It's not a 996 culture, but the team moves quickly., • No hand-holding. You'll have a lot of ownership from day one., • Office in NYC Onsite Compensation • $200,000 base salary, • Founding-level equity Why I'm excited about this one I've spent a lot of time with the founding team. They're building something that gets real money into the hands of up-and-coming athletes and lets fans share in the upside of the sport they already spend their money on. It's one of the few early-stage products I've seen this year that doesn't rely on AI to justify itself. I'm running this search exclusively, so every application comes straight to me and I'll reply to everyone personally. If you'd like to know more before applying, message me directly (Aiden @ devlogic)

Senior Client Solutions Manager About Brynson™Brynson is a growing SaaS company building technology that helps enterprise operators manage complex compliance, data, and digital workflows at scale. Our platform sits across multiple systems, data sources, integrations, and operational teams. That means successful client management requires more than relationship ownership. It requires someone who can understand how the product works, reason through data, navigate technical issues, communicate clearly with clients, and move problems forward without relying on constant internal support. We work with sophisticated enterprise organizations where accuracy, responsiveness, and strong client leadership matter. About The RoleWe are looking for a Senior Client Solutions Manager to own strategic client relationships across Brynsons SaaS platform. This is not a traditional Customer Success role focused primarily on check-ins, relationship management, and adoption. This person will sit at the intersection of clients, product, data, integrations, and technology. You will be responsible for understanding how clients use Brynson, how their systems connect to ours, where data comes from, how client workflows operate, and what is actually happening when something does not look right. When a client raises a complex question, you should be comfortable investigating it yourself. That may mean reviewing data, validating a source system, understanding an integration, reproducing product behavior, or clarifying what the client is actually seeing before involving Product or Engineering. You should also be comfortable owning difficult client conversations, setting expectations, leading implementations, managing competing priorities, and translating technical concepts into language that both executives and operational users can understand. Brynson is growing quickly, and not every process is fully defined. We need someone who can operate independently, make sound decisions, and create structure where it does not yet exist. What Youll Own Strategic Client RelationshipsOwn day-to-day relationships across a portfolio of Brynsons strategic and enterprise compliance clients.Develop deep knowledge of each clients portfolio, operating model, tech-stack, and stakeholders.Lead client meetings, working sessions, trainings, implementation discussions, and executive conversations.Manage multiple stakeholders across client organizations, including executives, operators, analysts, and technical teams.Identify risks, unresolved issues, and client concerns early and proactively drive them toward resolution.Maintain strong ownership of client commitments and ensure questions move through resolution. Technical & Data Problem SolvingIndependently investigate client questions involving compliance findings, data discrepancies, reporting, integrations, and platform behavior.Understand how information moves between property management systems, client systems, third-party platforms, APIs, data sources, and Brynson.Validate source data, property identifiers, mappings, refresh timing, business logic, and expected versus actual results.Identify whether an issue is related to underlying source data, integration behavior, Brynson logic, client configuration, or another dependency.Use available tools and data to develop an informed point of view before escalating internally.Partner with Product and Engineering on issues requiring deeper technical investigation.Provide clear technical escalations that include examples, business impact, expected behavior, and relevant client context. Product Implementation & AdoptionLead client onboarding and implementation workstreams from kickoff through launch.Understand client requirements, systems, dependencies, data needs, stakeholders, and success criteria.Coordinate internal and external workstreams required for successful implementation.Identify implementation risks and dependencies early.Support configuration, testing, validation, training, and launch readiness.Help clients understand how Brynson fits into their existing technology and operational workflows.Drive adoption by ensuring clients understand both how to use the product and how to interpret the information it provides.Support training and adoption across client teams. Cross-Functional ExecutionServe as a strong bridge between clients and Brynsons Product and Engineering teams.Turn ambiguous client requests into clearly defined problems, requirements, and use cases.Reproduce and investigate issues before escalating whenever possible.Distinguish between bugs, data problems, implementation gaps, product limitations, feature requests, and user misunderstanding.Provide Product with meaningful customer context without assuming every customer request should become a feature.Identify patterns across clients that may indicate broader product or platform opportunities.Communicate Product and Engineering decisions back to clients clearly and credibly. Process & ScaleIdentify recurring client friction and help solve the underlying problem rather than repeatedly managing individual symptoms.Build and improve client-facing documentation, implementation materials, internal playbooks, troubleshooting resources, and workflows.Improve how Brynson handles onboarding, data questions, escalations, training, and client communication.Bring structure to ambiguous situations and evolving processes.Help define scalable client-management practices as Brynson continues to grow. What We’re Looking For4-6 years of relevant professional experience, with meaningful experience in client-facing B2B SaaS or technology.Experience directly owning complex client relationships, implementations, technical accounts, or strategic customer workstreams.Strong technical and data fluency.Comfort working with APIs, integrations, structured data, system-of-record concepts, identifiers, data mapping, reporting, and troubleshooting.Demonstrated ability to investigate problems independently before escalating to Product or Engineering.Experience working cross-functionally with Product and Engineering teams.Strong written and verbal communication skills.Ability to communicate effectively with executives, operational users, analysts, and technical stakeholders.Experience leading SaaS implementations or complex onboarding workstreams.Experience building new client processes, playbooks, or operational systems at a growing company.Strong analytical and problem-solving skills.Ability to manage multiple priorities and make sound decisions without constant oversight.Comfort operating in a startup or high-growth environment where responsibilities and processes continue to evolve. Benefits & PerksCompensation: $125,000-$150,000Location: Hybrid role; must be based in New York, New YorkBenefits: Comprehensive medical, dental, and vision coverage.Time Off: Flexible PTO policy that supports work-life balance. Brynson is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by federal, state, or New York City law.

We are looking for multiple Senior Software Engineers that are eager to build in a dynamic, startup environment inside a stable, profitable company. Ideal candidates have worked in enterprise software development or for a high-growth technology company. Build new cloud infrastructure from scratch

Software Engineer, High Growth Start-UP, AI Platform (Python / LLM Agents) New York City I'm working with a well-funded AI platform company in Manhattan, founded by early engineers from some of the best-known data infrastructure companies in the market. Large enterprises use their product to let non-engineers build production apps on their own company data, with IT keeping full control of access and audit. They're growing a small, senior engineering team and are looking for a Software Engineer to work on the AI agent at the core of the product. The Role You'll join a team of experienced engineers who have built widely used open-source data tools, and you'll own real parts of the platform from day one. This is hands-on work on an agent that writes, runs, debugs and tests code for enterprise customers. Typical work includes: • Building the AI coding agent that generates, runs and debugs application code, • Developing the agent's memory layer so it learns each customer's schema, APIs and systems, • Working on sandboxing and code isolation so generated code runs safely, • Designing backend services and data models behind the platform, • Improving how the agent tests and QAs the apps it builds Tech Stack Python, LLM APIs, agent orchestration frameworks, PostgreSQL, distributed backend services, modern cloud infrastructure. What they're looking for • 3+ years of software engineering experience, • Hands-on experience building agentic AI systems or LLM applications in production, • Strong backend engineering and database design skills in Python, • Background at a high-growth startup or infrastructure company is beneficial, • Experience with security, sandboxing or distributed systems is a plus The Opportunity • Work on the core AI agent at a well-funded company with serious enterprise customers, • Join a small, senior team early, with real ownership over what you build, • $200,000 to $240,000 base plus equity, • H1B transfers, OPT and TN are supported If you'd like to hear more about the role and the company behind it, feel free to apply or reach out directly on

Founding Mobile Engineer About Atmos Clinic Atmos Clinic is a seed-stage healthcare startup based in New York City, building a new way for everyday Americans to access and pay for healthcare. We recently raised $6 million from Define Ventures, Next Ventures, Tau Ventures, and leading health-tech founders and CEOs, giving us the backing to build an ambitious company for the long term. Atmos was started by a team of repeat founders who have built clinical AI, modern health benefits, and care delivery products at companies including Ambience Healthcare and Oscar Health. We're combining those experiences to close a widening gap: small-business health insurance premiums are rising 15%+ year over year while wages barely move. More than a third of covered workers face deductibles above $3,000 before their insurance actually kicks in, and an estimated 65 million workers are left without meaningful access to everyday care. The health insurance system is broken and we’re building an alternative layer on top. Atmos Clinic is an AI-native care platform that combines 1) chat-based advanced virtual primary care, 2) an employer-sponsored healthcare expense card, and 3) a marketplace of transparently priced local healthcare services. Employers can switch to more affordable health insurance plans and use the savings to offer Atmos Clinic on top, finally giving their employees a better healthcare experience at a lower cost. We want Atmos to feel nothing like a traditional healthcare product. Talk to it like ChatGPT. Find care like Airbnb. Spend like Ramp. We’re building a world-class consumer experience and pushing the boundaries of interaction and visual design, drawing inspiration from products like HeyClicky, Wispr Flow and Partiful. The goal isn't just to make healthcare work better, but to make it feel simpler, more intuitive, and more delightful to use. The Role We are hiring a Founding Mobile Engineer to own the consumer product surface of Atmos from early prototypes through launch and scale. You’ll build and ship our first iOS and Android app, with real ownership over mobile architecture, product decisions, interaction design, and implementation. This role is designed for someone who has learned how great engineering teams operate and now wants a much larger surface area. You’ll work directly with the founders and a small technical team, make decisions without layers of process, and see your choices show up in the product quickly. There is no mature mobile codebase or design system to inherit as you’ll help define both, and over time help build the team around them. What You’ll Do • Turn early product ideas into polished user flows and working product, making calls on UX details that would otherwise get handed between product, design, and engineering., • Build a world-class mobile experience across iOS and Android, expressing your opinions on details like motion, latency, gestures, accessibility, and the loading, empty, and error states that separate a functional app from a great one., • Design mobile interactions for AI-native care, including real-time AI responses, voice and multimodal input, care threads, notifications, and healthcare payment experiences., • Own the mobile architecture end to end: API integration, authentication and security, testing, observability, build automation, App Store and Play Store submissions, and ongoing releases., • Ship quickly, talk to users, study how the product behaves in the real world, and iterate from feedback and usage data., • Help set product priorities directly with the founders. As the team grows, choose tools, establish practical engineering standards, and help recruit the mobile team around the product you created. What Success Looks Like • In your first six months, take the mobile app from early development through launch on iOS and Android, with meaningful users relying on what you built., • Create a consumer experience that feels exceptional, not merely functional, and establish a high bar for product craft across the company., • Establish an architecture, testing, monitoring, and release process that lets a small team move quickly without sacrificing reliability., • Become the clear owner of the consumer product surface and help define the next phase of the roadmap, team, and technical foundation. Who You Are Must-haves • You have several years of experience on a strong engineering team and have personally taken meaningful mobile features or products from development through release and maintenance across iOS and Android., • You want broader ownership than a large team can usually offer. You’re comfortable taking an ambiguous problem, deciding what should be built, and carrying it through to a polished product., • You have strong fundamentals across API integration, authentication, mobile debugging, testing, performance, and app-store releases., • You use AI development tools aggressively but thoughtfully, and can explain, review, test, and maintain the code they help produce., • You care about product craft as much as code quality. You notice latency, motion, edge cases, copy, and interaction details and you have opinions about what makes consumer software feel great., • You work independently, move quickly without being sloppy, communicate risks early, and enjoy direct feedback and high-context collaboration. Nice-to-haves • Experience building a product from the first version, or a strong desire to move from a larger company into a true zero-to-one environment., • Experience with React Native, or another framework that supports high-quality shared mobile code., • Experience with consumer products where design, animation, onboarding, or interaction quality materially shaped the product., • Experience with healthcare, fintech, AI products, or other applications that handle sensitive information and high-trust user journeys. Practical Details • Location: New York City. We work together in person (~3 days/wk)., • Employment: Full-time, with respect for work-life balance., • Compensation: $180,000–$240,000+ annual base salary, depending on experience, plus meaningful founding equity (0.5% – 1%+) reflecting the ownership and impact of the role., • Benefits: general startup offerings including health insurance, 401k, etc.

Role: Mid-Market Account Executive / AI-Native ITSM SaaS Location: NYC preferred *Open to candidates in major markets with strong airport access, including Boston, Chicago, Atlanta, Dallas, San Francisco, Los Angeles, Seattle and Colorado. Compensation: $100K to $130K base x 2 OTE (~$200-260K+ OTE) + equity About the Company Our client is a New York City-based, AI-native IT service management startup that launched in 2026 with a significant seed round co-led by two top-tier venture firms. Its platform builds a live model of the entire organization (employees, applications, devices, permissions, policies, systems and history) and uses AI agents and an automation engine to resolve IT requests and incidents end to end, replacing the manual, ticket-driven workflows that legacy ITSM platforms still depend on. Key leadership from leading public infrastructure software companies as well as respected names in cloud, AI and enterprise technology. Early Fortune 500 customers are already seeing dramatically faster resolution times and meaningful cost savings. The Opportunity We are hiring founding Mid-Market Account Executives to win new logos at 2,000 to 10,000 employee companies. This is a full-cycle hunting role with a faster motion than enterprise: you will generate a significant share of your own pipeline and close fast-moving IT deals. What You'll Do • Own the full sales cycle on $150K to $400K ACV deals, from prospecting to close, • Source 50%+ of your own pipeline through outbound and new-logo hunting, • Sell to IT Directors, Service Managers and senior IT leaders, • Uncover ITSM and service management pain and position against incumbent tools, • Help build the mid-market playbook alongside the founding team What We're Looking For • Full-cycle AE who sources 50%+ of their own pipeline, • Proven $150K to $400K deal experience, ideally 5+ closed deals in that range, • Consistent 75%+ quota attainment, • Strong outbound, new-logo hunter who is comfortable prospecting cold, • Comfortable selling to IT Directors, Service Managers and senior IT leaders, • Understands ITSM / service management pain points, • Comfortable operating in an early-stage environment without an existing playbook Why This Opportunity • Ground-floor founding GTM seat at a well-funded, AI-native company going after a massive, stagnant market, • Sell alongside a founder who has helped scale one of the defining infrastructure software companies, • Backed by top-tier venture investors and advised by senior technology leaders from leading AI, fintech and infrastructure companies, • Great NYC office in the heart of Midtown, open to remote locations in key markets, with travel, • Fast, decisive interview process

Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft’s Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Compliance operations are broken -- not because the rules are wrong, but because the tools are. Critical work is scattered across databases, vendor dashboards, spreadsheets, and email threads, leaving compliance and operations teams to manually stitch everything together with too little support and too little recognition. Clusia is building collaborative AI for financial compliance and payment operations. Our platform helps teams unify fragmented data, resolve payment issues faster, and manage obligations in one shared, no-code workspace. We’re building for the analysts, program managers, and compliance leaders who keep financial systems running safely every day -- and who deserve better tools to do their best work. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you’ll own important parts of the product and company from the beginning -- from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won’t be handed a neatly scoped ticket queue. You’ll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $160,000 - $225,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join • Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record., • We’re building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high., • Your work will matter at global scale. The systems we’re building will power critical operations for some of the largest financial institutions and technology companies in the world., • You’ll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications • AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems., • Full-stack product engineering: You can build clean, reliable product experiences end to end., • Infrastructure depth: You’re comfortable with cloud services, deployment, observability, reliability, and security., • AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality., • Startup execution mindset: You’re pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems., • Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution., • Creating: You’ve built things outside of work -- maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.

About Pockyt Pockyt is building the AI-native infrastructure for global money movement. We give merchants a single platform to accept payments from anywhere, send money globally, and manage funds through Global Virtual Accounts and stablecoins — but our ambition runs deeper than the rails themselves. We're architecting the connective tissue that lets money move across borders the way information moves across the internet: instantly, intelligently, and autonomously. We serve a wide spectrum of merchants, from sophisticated enterprise platforms running complex multi-currency operations to the next generation of AI-powered startups, including the one-person unicorns we believe are about to reshape the global economy. Today, that means one integration, one account view, and one place to track everything. Tomorrow, it means a financial layer that AI agents can natively transact on — where money flows are orchestrated, optimized, and reconciled without human bottlenecks. Our mission is to make global commerce frictionless. We're not building another payments platform. We're building the operating system for how value moves in an agentic, borderless economy. The Role We're hiring a Founding Engineer to start our New York Applied AI team — the small, senior, AI-leveraged group whose mandate is to compress quarters into days across Pockyt. This is our second engineering hire and our first engineering leadership hire in NYC. You'll set the bar for who joins next and lay down the patterns a 20x engineering org will inherit. Your charter is agentic systems and applied AI, deployed wherever the highest-leverage workflow lives. The work begins inside the company because that's where the friction is most visible and the wins are most measurable — manual payment processing, compliance reviews, RFI loops, merchant onboarding, settlement reconciliation, treasury operations, and merchant configuration are full of workflows waiting to be replaced with agents. But the work doesn't stay there. The patterns you prove on our own operations are the same patterns we expose to merchants as Pockyt becomes the financial layer AI agents transact on. What you build here becomes the substrate. This is a founder-mode builder-leader role. You'll own critical systems end-to-end, lead technical discovery on ambiguous problems, set the standards the engineers behind you will inherit, and mentor the team as it grows. You'll report directly to our CEO and collaborate closely with our Head of Product and the other technical leaders driving execution — Head of Product Engineering, Head of Engineering Operations, and Chief Architect — on system design, rollout, and how this team plugs into the rest of engineering. If you've been waiting for the role where you get to build the self-improving company — instrument it, automate it, and watch the feedback loops compound until they reach the merchant — this is it. What You'll Do • Own the applied AI and agentic workflow surface end-to-end: discovery, design, prototyping, production rollout, measurement, and iteration, • Embed with Finance, Compliance, Ops, GTM, Support — and increasingly with merchants — to identify the workflows with the highest leverage and replace them with agents and software: reconciliation, KYC/EDD review queues, RFI triage, payment initiation, merchant configuration, reporting pipelines, • Build durable, observable agentic systems: LLM-orchestrated workflows with retries, evals, rollback, and instrumentation that survive contact with real money movement, • Graduate the highest-leverage workflows into merchant-facing product capability — the agent that reconciles our books becomes the agent merchants run on theirs, • Set the technical foundation the broader Applied AI org will build on — eval frameworks, agent guardrails, prompt and tool design conventions, shared SDKs (some of which become merchant-facing), observability standards, • Mentor and pair with the engineers who join behind you; raise the bar on code review, testing, and shipping discipline; help interview, hire, and onboard each new team member, • Partner with the Chief Architect on guardrails for AI-generated code and agent-executed actions touching ledgers, settlements, and customer funds, • Define success metrics for every system you ship — hours saved, manual payments eliminated, time-to-resolution, error rates, merchant time-to-value — and own the outcome publicly, • Translate ambiguous executive asks into shipped systems; close the loop by demoing what's live and what's next What We're Looking For • 6+ years building production software, with a clear track record of owning critical systems end-to-end and shipping outcomes — not just features, • Deep AI fluency — you use Claude, Cursor, Codex, and LLM/agent frameworks (LangGraph, Inngest, Temporal, browser automation, eval tooling, etc.) as a daily force multiplier and have opinions about when each one helps, • Strong full-stack instincts across Java, TypeScript (Vue), and Golang, with comfort moving across frontend, backend, data plumbing, and integrations; depth in one area is fine, rigidity in only one is not, • Experience designing agentic or workflow systems that touch real-world state (payments, ledgers, customer data) with safety, idempotency, observability, and rollback as first-class concerns, • A history of operating without a backlog — you spot the problem, scope it, ship it, measure it, and move on, • Demonstrated ability to mentor, set technical direction, and elevate the engineers around you; you've been the person whose patterns the rest of the team copies, • Excellent written and verbal communication — you'll present to executives weekly and write specs and post-mortems for non-engineers, • Genuine curiosity about how the business actually runs, and the patience to sit with ops, finance, and compliance to understand the workflow before automating it Bonus Points • Prior experience as an early or founding engineer at a fast-moving startup, or as the technical lead for a forward-deployed / applied AI / platform team, • Experience in fintech, cross-border payments, digital wallets, merchant acquiring, treasury, or financial reconciliation, • Background in RegTech, compliance automation, KYC/KYB workflows, or transaction monitoring, • Hands-on experience building eval pipelines and regression tests for LLM systems in production, • Track record of recruiting and hiring engineers into a small, senior, AI-native team Why Pockyt • Build at the frontier of AI + payments at a company shipping for both enterprise platforms and the next generation of AI-native merchants, • Real ownership and direct work with senior leadership from day one — and a leading hand in building the team that comes after you, • A clear path into engineering leadership (Staff, Head of Product Engineering, Head of Engineering Operations) as the surface area expands, • Competitive compensation, employer-paid health insurance, 401(k) match, and unlimited PTO, • Quarterly bonus pay-outs of up to 20% your base salary, • Eligibility for founding team equity grant, vesting over 4 years with a 1-year cliff (subject to Board approval) How You'll Work • Rhythm: Rapid ideation → scoped prototype (hours/days) → pilot → production hardening → measure and iterate; weekly executive demos, • Collaboration: Daily collaboration with product, design, ops, finance, and compliance stakeholders; close partnership with Chief Architect on guardrails and Head of Product Engineering on rollout, • Quality bar: Ship small, safe, observable changes with clear rollback; instrument every workflow with outcome metrics; build evals before you scale anything LLM-driven, • Team building: Set the hiring bar, run technical interviews, and onboard the engineers who join behind you Success looks like: measurable elimination of manual hours across Finance, Compliance, and Ops in your first quarter; a documented library of agents and workflow patterns the rest of the company builds on; the first systems you ship graduating into merchant-facing capability; a clear, repeatable hiring and onboarding playbook for the NYC team; and the rest of the company asking what you'll automate next.

Startup experience is ideal, though experience within a small autonomous team at a larger company could also fit. A chance to own meaningful parts of an early-stage product where reliability and explainability matter. I’m working with an early-stage AI startup building software that helps banks an

Senior/Lead Machine Learning Engineer | New York, NY Lawrence Harvey has been engaged by a fast-growing technology company operating at the intersection of advertising, search, and machine learning on a position that is critical to the continued development of its ML capabilities. They are looking for a Senior/Lead Machine Learning Engineer who will own machine learning problems end-to-end, from developing and evaluating models through productionization, deployment, and ongoing improvement. The team is working across areas including ranking, prediction, pricing, and advertiser performance, with a major focus on building toward real-time model serving and decision-making. The successful candidate will be joining a highly technical ML team where engineers have broad ownership across both model development and production software. You will have the opportunity to build new capabilities from scratch and solve ML problems where predictions directly influence real-world product and business outcomes. This is an opportunity to join a growing, engineering-driven organization in a role that offers significant technical ownership, challenging production ML problems, and the ability to directly influence how the company's machine learning systems evolve. The Ideal Candidate has: • Strong Machine Learning Engineering or Software Engineering experience with hands-on ownership of developing and deploying production ML models., • Strong Python experience and the ability to build production-quality software, with exposure to technologies such as AWS, Databricks, Kubernetes, and real-time model serving environments., • Experience working on recommendation systems, ranking, search, personalization, NLP, deep learning, real-time prediction, or other ML problems where models directly influence production decisions., • Experience taking ML systems from development through production, ideally within a startup or high-ownership engineering environment. AdTech, streaming, marketplace, auction, or similar experience is a strong plus. If you have any questions, please feel free to reach out!

Office Policy: 2x a week in SEA, SF, or NYC Engineering Manager Job Description 1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Their mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. Tools we use: • Languages: Python 3, TypeScript, • Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js, • Datastores: Postgres, Redis, • Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, • Monitoring: Datadog, PagerDuty, Sentry, • Version Control: Github, • Vulnerability Management: Snyk, Semgrep, • Cloud Security: Lacework, • AI Tools: Cursor, Claude, Gemini, Eddy (our in-house cloud agent harness) About this role • This role sits at the intersection of growth, product development, and marketing. You'll have the freedom to innovate and experiment while collaborating with a diverse group of cross-functional partners from across the company. This is an opportunity to tackle complex, rewarding problems in a highly collaborative, supportive environment that values technical excellence and operational rigor. You'll build systems that help patients discover and access mental health care, directly improving lives and transforming the healthcare landscape. Your work in this role will shape how thousands of patients connect with care, making a lasting impact on our mission to reimagine mental healthcare access for all., • As an engineering leader, you will be responsible for leading and growing the team behind these core growth initiatives through people development, strategic planning, and hands-on technical support. You'll play a leading role in defining what and how these systems are built, setting up how the team operates, and ultimately driving best-in-class experiences that convert interest into action., • This is a critical leadership role for us and our mission to make mental healthcare more accessible. Provider Growth Pod Supporting providers isn't just about connecting them with patients — it starts much earlier, with helping them discover our platform and understand the value we provide. Our providers are at the heart of our mission — and enabling more of them to join our platform is critical to expanding access to care. This role is focused on building the tools, systems, and experiences that help providers learn about us, express interest, and begin their journey. From our referral engine and AI-assisted marketing experiences to intelligent lead capture, scoring, and routing infrastructure, you'll be responsible for the end-to-end technical foundation that drives provider acquisition. That includes building systems where AI helps personalize how providers discover and evaluate us — not just pushing traffic, but converting the right providers at the right moment. By helping more providers discover, trust, and join our company, you'll directly impact both provider supply and patient access. Who you are We're looking for experienced engineering team leaders and people managers who are product-minded, data-informed, and energized by growth. As an Engineering Manager, you will work closely with Engineering Leadership, Product, Marketing, Design, Data, and RevOps to shape the future of our growth strategy. This is an exciting opportunity for a passionate, mission-aligned engineering leader to make an immediate impact at a high-growth company. Responsibilities: • Lead and manage an engineering team focused on growth, • Partner closely with cross-functional stakeholders to build systems that enable rapid experimentation and long-term scale, • Partner closely with Product, Design, Marketing, Data to rapidly iterate through A/B testing, • Collaborate with activation and onboarding teams to ensure a seamless end-to-end user experience from first touch to first appointment, • Drive alignment across your team on process, prioritization, and product outcomes, • Develop and grow your team through weekly 1-1s, mentorship, and feedback, • Work with and help develop aspiring engineering leaders within the engineering team, • Contribute to the broader company strategy and product roadmap, • Help build out our engineering team as our headcount grows from 120 to 175+ through the remainder of the year, • Leads Teams into the AI Era: You don't just tolerate AI tools — you actively shape how your team uses them. You've thought carefully about where AI accelerates engineering work and where it doesn't, and you help your engineers develop genuine fluency rather than surface-level familiarity. Whether it's AI-assisted code review, LLM-powered features, or rethinking which workflows to automate, you bring a builder's mindset: what should we automate, what should stay human, and how do we ship it responsibly in a healthcare context?, • We expect our engineering managers to remain active technical contributors — pairing with engineers, driving key design decisions, and personally owning select deliverables. You'll lead through doing, not just directing. Below are additional experiences we think help engineering managers succeed at our company: • You have 3+ years of experience as an Engineering Manager at a high-growth startup or scale-up, building and leading high performing teams that have effectively delivered business outcomes through technical investments, • You have 5+ years of experience as a Software Engineer, • You're energized by experimentation and growth — and can balance short-term learning with long-term scale, • You have a strong product mindset and have built strong cross-functional relationships that drive optimal user experiences and build trust with users, • You have a strong technical foundation that allows you to ensure your team is making appropriate technical decisions, • You are flexible and adaptable; you understand that the best growth teams must learn and iterate quickly, and that growth roadmaps are dynamic as a result, • Nice to have: Prior experience with SEO and paid advertising, • Nice to have: Prior experience with Python and React and working with AWS infrastructure, • Nice to have: Experience in health tech, building user-facing products, • Nice to have: Experience applying AI/ML to growth contexts — personalization, intelligent routing, LLM-powered content, or experimentation at scale, • BS, MS in Computer Science or related field

BURKE+CO. www.burketalent.com THE GIST: Our client, an AI-native company transforming the professional services space, is seeking an exceptional Executive Assistant to support their Co-Founders, in a highly visible role with direct exposure to how the company is built and run. This is the perfect role someone who takes genuine pride in being exceptional at the craft. You'll own the founders' calendars, inboxes, travel, meeting preparation, and day-to-day logistics while becoming a trusted partner. THE NITTY GRITTY: • Own and strategically manage the calendars of multiple co-founders, balancing competing priorities, protecting deep work, and making thoughtful tradeoffs., • Manage inboxes end-to-end (triage, draft communications in each founder's voice, surface priorities, and ensure nothing falls through the cracks)., • Own meeting preparation and follow-through, including agendas, briefing materials, background research, notes, and action items., • Coordinate complex domestic and international travel, including quickly rebuilding itineraries when plans change., • Manage scheduling across clients, investors, candidates, and other key relationships, • Handle expenses, reimbursements, vendors, subscriptions, and other founder-related logistics., • Support board meetings, offsites, leadership sessions, and other high-priority company events from planning through execution., • Serve as a trusted gatekeeper and steward of highly confidential legal, financial, personnel, and client information., • Leverage modern technology and AI tools to improve workflows, increase efficiency, and operate at a higher level. THE ESSENTIALS: • 5+ years of experience supporting founders, CEOs, CTOs, or other senior executives, • Experience in a high-growth startup, technology company, venture capital, or similarly fast-paced environment required, • Tech-savvy and genuinely curious about AI and modern productivity tools., • Exceptionally organized, responsive, and detail-oriented, • Excellent written communication skills with the ability to draft polished communications in another person's voice., • Strong judgment and discretion; comfortable making decisions with incomplete information and confidently protecting a founder's time., • Highly proactive and resourceful with a genuine "figure it out" mentality., • Warm, polished, and highly professional with clients, investors, candidates, and other external stakeholders., • Excited to work alongside a high-caliber team that values precision, speed, and ownership. THE CHERRY ON TOP: • Become a true partner in how a rapidly growing company operates!, • Work directly with two founders building an ambitious company at the intersection of AI and professional services LOCATION: New York City (Onsite) COMPENSATION: $140k-185k base salary + equity + benefits (exact compensation will vary based on skills, experience, and expertise) What are you waiting for? BURKE UP! Email your resumes today to You can view our other open jobs at: www.burketalent.com (Refer a friend + get a taste of our generous referral bonus program! *Compensation is aligned with experience, level, and role scope. Most offers fall within the mid-range, with the top of the band generally reserved for candidates with extensive, directly relevant backgrounds. Leveling is determined during the interview process

Senior Analytics Engineer for a Series B Venture backed Startup | New York City, NY | Hybrid Compensation: $180K–$211.5K base + equity About the Company Our client is a fast-growing technology company building modern digital infrastructure for payments, transactions, and business operations. As the company continues to scale its data and analytics capabilities, they are hiring a Senior Analytics Engineer to take foundational ownership of how core business metrics are defined, modeled, governed, and used across the organization. This is a highly visible role at the intersection of analytics engineering, data governance, business strategy, and cross-functional decision-making. The Opportunity We are looking for a founding-level Senior Analytics Engineer to own the data stack from the gold layer onward. Our Data Engineering team handles raw ingestion, warehouse reliability, and the bronze-to-silver layers. This role picks up from there to ensure the organization has trusted, consistent, and reusable definitions for key business performance metrics. For example, operational performance and transaction throughput metrics should mean the same thing whether queried in a BI dashboard, surfaced through an internal Slack chatbot, or consumed by an LLM-based agent. This is much more than a traditional transformation-pipeline role. The Senior Analytics Engineer will own semantic layers, metric definitions, data contracts, cross-team metric standardization, gold-layer modeling, certified data products, analytics cost management, and data context for both human and AI consumers. What You'll Own • Own the gold layer and ensure core business metrics are modeled consistently and reliably., • Design and maintain the company’s semantic layer / metrics layer., • Define metrics and data contracts that are adopted across multiple teams., • Partner with stakeholders across the business to resolve disagreements around metric definitions., • Establish trusted, reusable data products that can support dashboards, reporting, self-service analytics, and AI/LLM-based consumers., • Partner on the company’s broader reporting and analytics revamp., • Expand data capture and improve the quality and usability of business-critical datasets., • Help manage and optimize analytics infrastructure costs, including Snowflake and dbt usage., • Improve documentation and create a more scalable, writing-first analytics culture., • Work closely with Data Engineering while maintaining clear ownership of analytics-layer modeling and governance. What We're Looking For • 5+ years of experience in analytics engineering, data analytics, or a closely related field., • Strong, clearly demonstrated advanced SQL experience., • Strong experience with dbt and Snowflake., • Direct ownership of a semantic layer, metrics layer, or equivalent modeling framework., • Experience defining metrics or data contracts adopted by multiple teams., • Experience acting as the sole or lead analytics engineer for important modeling or metric work., • Track record of resolving cross-functional disagreements around how business metrics should be defined., • Strong written and verbal communication skills., • Ability to operate independently in a decentralized, fast-moving environment. Particularly Relevant Experience • dbt Semantic Layer, LookML / Looker, Cube, Sigma, self-service analytics tooling, semantic modeling, metrics governance, or data contracts., • Snowflake or dbt cost optimization., • Airbyte or Fivetran., • LLM or AI-enabled data products, structured chatbot context, MCP-style interfaces, or data products used by AI agents., • Client-facing analytics or consulting work., • A master’s degree in a relevant discipline is a plus, but not required. Ideal Background • The strongest candidates may have worked as Senior Analytics Engineer, Lead Analytics Engineer, Staff Analytics Engineer, Founding Analytics Engineer, Analytics Engineering Manager interested in returning to an IC role, or Senior Data Analyst with significant analytics-engineering and modeling ownership., • Strong candidates often come from high-growth startups or high-caliber technology companies that use a modern data stack (e.g., payments platforms, business software, SaaS, or high-growth tech unicorns). What Success Looks Like The ideal candidate is not simply someone who builds data models. They are someone who can step into a company where different teams may have different interpretations of the same metric and create a clear, trusted source of truth. You should be comfortable asking questions such as: What does this metric actually mean? Who should own its definition? Why are two teams calculating it differently? Which version should become the company standard? How should that definition be represented in dbt, BI tools, and future AI applications? The strongest person for this role combines technical depth, business curiosity, and strong cross-functional judgment. Green Flags • Founding or first analytics-engineering ownership at a startup., • Direct ownership of semantic or metrics infrastructure., • Strong Snowflake + dbt experience., • Clear examples of creating metrics or data contracts used by multiple teams., • Experience resolving disagreements between Product, Finance, Operations, or other business teams around metric definitions., • Strong documentation habits and writing-first communication., • Initiative beyond the formal job description., • Experience thinking about how analytics models support both BI tools and AI agents., • Experience with AI, LLMs, or agentic data consumers. What May Not Be a Fit • Data engineering infrastructure, orchestration, or ingestion with limited analytics modeling., • Pipeline development without meaningful SQL/dbt ownership., • Analytics roles without ownership of shared metrics or semantic layers., • Highly academic or research-heavy backgrounds with limited production experience., • Candidates who have mainly contributed to models owned by a centralized Data Engineering team rather than leading analytics-layer ownership themselves. Location & Compensation • Location: New York City, NY — Hybrid., • Compensation: $180K–$210K base salary + equity., • Relocation and visa sponsorship may be considered on a case-by-case basis. Why This Role Is Interesting This is an opportunity to become the person who defines how the company understands and uses its own data. Rather than inheriting a fully mature analytics function, you will have the chance to shape the company’s semantic layer, establish metric governance, influence how teams make decisions, and build data products that will eventually serve both people and AI systems.

Senior AI Engineer | NYC | $200k - $280k I'm working with a well funded, early stage AI company building agents that handle complex, multi step professional workflows. They're looking for a Senior AI Engineer to help build the core systems behind it. This is not another chatbot or thin LLM wrapper. You'll be building: • Agentic systems that reason, use tools and execute multi-step workflows, • Evaluation infrastructure that tells you when AI is getting better or quietly getting worse, • Orchestration systems for long running jobs, retries, dependencies and failure recovery, • Production infrastructure making AI observable, reliable and fast The problems are genuinely hard. • How do you make an unreliable model behave like reliable software?, • How do you know when an agent is wrong?, • How do you build systems that can recover when things inevitably fail? You'll have significant ownership and work directly with the people defining the product. Ideally, you've already worked in a startup or high growth environment and enjoy operating without much process or hand-holding. Strong backend engineering fundamentals matter. Deep experience with LLMs, agents, evals or distributed systems is highly relevant. If you want to work on serious AI infrastructure rather than another AI wrapper, this is worth a conversation. Gareth Fudo Partners

AI Engineer – Agentic AI / LLM Systems New York | Series A Startup $180–$250k + Equity In office (5 days) No visa sponsorship available A fast-growing, venture-backed AI company is hiring AI Engineers to build systems where AI doesn’t just respond, but actually learns and executes real enterprise workflows. The team is developing AI agents that can understand how businesses operate, generate structured instructions, and take action across complex systems, with built-in confidence scoring and human-in-the-loop decisioning. The role • Build and deploy agentic AI systems that automate complex, real-world workflows, • Design systems for LLM orchestration, tool usage, and multi-step execution, • Develop production-grade systems in Python, • Implement RAG pipelines, multi-agent systems, and learning workflows, • Build evaluation and confidence frameworks to determine when to automate vs escalate, • Work directly with customers to prototype and ship systems into production Requirements • Strong engineering background with Python, • Experience building production LLM systems, • Experience with agentic frameworks, RAG, or orchestration tools (LangChain, LangGraph, etc.), • Experience building scalable AI systems or automation workflows, • Interest in learning systems, human-in-the-loop workflows, or evaluation frameworks This is an opportunity to join a small, highly technical team building next-generation AI systems backed by leading investors, working on problems at the edge of what’s currently possible in applied AI.

This is a contract-to-hire position (40 hours per week) We’re looking for a sharp, tech-savvy Dental Insurance Verification Specialist to join our fast-paced team. This role goes beyond basic insurance verification — we’re looking for someone who can spot trends, flag issues, and help improve our RCM processes using data. Key Responsibilities: • Accurately verify dental insurance benefits for patients across multiple payers., • Track and document insurance information in an organized and standardized format., • Analyze verification data to identify inconsistencies, trends, or missing information., • Collaborate with the team to refine workflows and improve efficiency in the RCM cycle., • Support EDI setup and troubleshooting, if applicable., • Help build light reporting dashboards or summaries using tools like Excel or Google Sheets. Key Attributes We’re Looking For: • Deep Dental Insurance Knowledge – 5+ years of hands-on experience verifying dental insurance in a practice setting., • Detail-Oriented & Impeccably Organized – You double-check everything and thrive on clean, structured documentation., • Tech-Savvy – Comfortable with dental software and EDI processes; bonus points if you can use spreadsheets for light analytics or reporting., • Hard Worker – Our small team moves fast and works hard. Hustle is part of our culture and our success. Bonus Experience: • Familiarity with RCM workflows beyond verification (e.g., billing, collections)., • Basic data analytics or reporting experience (e.g., pivot tables, error tracking, trend analysis)., • Experience working in a remote or startup-like environment Of course, making the jump from a dental practice to a tech company is a big transition. It goes without saying that we'll need someone innovative, forward-thinking, and passionate about our mission to build the 'dream solution for RCM teams'. Hourly Rate: $25+

Job DescriptionAbout Zūm: Zūm is revolutionizing mass mobility with its Connected Mobility Experience (Zūm CMX™) system that connects and coordinates people, vehicles, and operations in real time. In the $50 billion student mobility market – the largest segment of the mass mobility industry – Zūm CMX is transforming a daily source of anxiety and disruption into a reliable, transparent, and efficient mobility experience for students and families. Today, more than 6,500 schools rely on Zūm CMX. Recognized globally for its innovative approach and operational execution, Zūm has been named to Fast Company’s World’s Most Innovative Companies, CNBC Disruptor 50 and Changemakers, the World Economic Forum, and the Financial Times’ Fastest Growing Companies lists. Zūm is backed by leading investors including Sequoia Capital, GIC, TPG, and Softbank. About the Role We're seeking an experienced Location Manager to lead transportation operations at Yonker, NY. This role encompasses the complete operational lifecycle—from bid development and startup to daily management and continuous improvement. You'll build high-performing teams, manage P&L accountability, and establish best-in-class transportation operations that exceed customer expectations. What Makes You Successful in This Role You're a decisive leader who thrives in dynamic, fast-paced environments where every day brings new challenges. You balance operational urgency with safety discipline, never compromising on what matters most. You're a natural relationship builder who earns trust with customers, employees, and stakeholders through consistent follow-through. You see potential in people and invest in their growth, building teams that take ownership and deliver results. You're equally comfortable reviewing financial reports, walking the yard with drivers, and presenting to school district administrators. You take pride in building something from the ground up and have the resilience and initiative to overcome obstacles without waiting for permission. ResponsibilitiesOperational Leadership & Start-Up • Execute complete site start-ups for newly awarded contracts, team hiring, facility setup, IT implementation, • Develop training and hiring programs for location that meets or exceeds state, federal, and district guidelines, • Develop and maintain customer and stakeholder relationships, consistently exceeding expectations through proactive communication and service delivery, • Manage assigned contract operations, ensuring consistency and excellencePerformance Management & Safety, • Utilize Zum's IT infrastructure to monitor, analyze, and exceed balanced scorecard KPIs across all operational areas, • Spearhead a behavioral safety culture that protects employees, students, and the broader community, • Oversee Safety Department compliance with state, federal, DOT regulations, RFP requirements, and meticulous record keeping, • Review all incident reports, ensure proper accident/incident reporting procedures, and submit documentation as required, • Maintain P&L accountability in alignment with company financial guidelinesTeam Development & Operations, • Collaborate with Human Resources, Recruiting, and Safety teams to strategize and execute hiring plans that support operational needs, • Develop and coach Zum employees to become our next generation of leaders through mentoring and growth opportunities, • Partner with Maintenance leaders to ensure complete fleet readiness and maintain accurate inventory meeting all regulatory and contractual requirements, • Oversee daily operations including scheduling, staffing, field trip/charter processes, route awards, and trip execution, • Work with the payroll department to ensure timely, accurate processing and resolve discrepancies promptly, • Manage union relationship according to collective bargaining agreement (CBA) guidelines, • Maintain organized, safe, clean, and efficient operational facilities, • Partner with Safety Manager to coordinate accident investigations and workers' compensation cases, working with insurance adjusters and claims administrators to ensure accountability and timely resolution, • Build and maintain strong relationships with school district partners and community to ensure service excellence Qualifications Basic Qualifications • Demonstrated experience managing full profit and loss (P&L) accountability with operational oversight and KPI responsibility, • 5+ years of experience managing day-to-day operations in complex, time-sensitive environments such as transportation, field services, logistics, hospitality, or similar industries, • Experience with scheduling, staffing, planning, and operational execution, • 5+ years of experience maintaining client-facing relationships and managing customer accounts in an operational environment, with demonstrated ability to deliver customer service to both external clients and internal stakeholders, • Experience managing salaried leaders and/or coordinating across multiple departments, • Track record of career progression supported by relevant certifications or continuing education, with demonstrated success in developing direct reports and building high-performing teams, • Comprehensive understanding of and demonstrated experience with safety practices, protocols, processes, compliance requirements, and regulatory standardsPreferred Qualifications, • Experience managing in a unionized (CBA) environment, • Prior leadership in transportation start-up or new district launch, including sourcing facilities, implementing IT systems, building teams, and intaking fleet vehicles, • Demonstrated experience successfully managing through periods of rapid organizational growth or major management/structural changes, • Proficiency with Microsoft or G Suite applications (Sheets, Docs, Slides)Zūm Services, Inc. and all its subsidiaries provide 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. We may use artificial intelligence (AI) tools, such as Lever, Fountain, Factory Fix, Metaview, Gem, Claude, to support parts of the hiring process, including reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on applicant’s provided data or publicly available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us at legal-compliance@ridezum.com.

A stealth, venture-backed technology company is seeking a sharp, highly discreet Executive/Personal Assistant to support its founder across two closely connected startup businesses. The assistant will serve as a resourceful, boots-on-the-ground operator balancing executive support, personal logistic

Built infrastructure at a VC-backed infrastructure startup. They are looking for an Infrastructure Engineer to own and evolve the infrastructure management system behind that platform. You have built or contributed to core infrastructure at an infrastructure company (PaaS, IaaS, cloud platform or in

Toss Securities is one of Korea's fastest-growing retail securities and fintech platforms, widely regarded as one of the country's most innovative fintech brands. As part of its global expansion, Toss has opened overseas offices in the US and Japan. Toss Securities US LLC (TSUS), a FINRA-registered broker-dealer, is building the next generation of investing products and infrastructure as it actively grows its U.S. trading operations. As part of the broader Toss ecosystem, TSUS combines a startup mindset with the rigor required of a regulated financial institution. We are seeking experienced Head of Finance to join our growing team. This role offers an exciting opportunity to contribute to the expansion of a dynamic brokerage firm while advancing your career in the U.S. financial markets. The Head of Finance is the senior finance executive for Toss Securities US. This role owns two connected mandates: • US Finance Leadership: oversight of the finance function in the US including controllership, regulatory/net capital reporting, treasury coordination, and audit management while serving as the primary link between US finance operations and Group finance colleagues at TSKR, including regular direct engagement with the Parent CFO., • Financial Planning & Analysis (FP&A): budgeting, forecasting, management reporting, and business-partnering across the US organization and Korea. This is a highly visible role requiring strong technical finance skills, regulatory fluency in broker-dealer requirements, and the ability to translate between local US operational needs and group-level reporting/governance expectations. Key Responsibilities Lead financial strategy and execution across our US subsidiaries • Build actionable financial strategy at the entity and consolidated US level: KPIs, budgets, forecasts, capital allocation, treasury management., • Translate strategy into business impact., • Lead the Accounting and Regulatory finance team., • Stay current on regulatory changes affecting broker-dealer financial reporting and capital requirements. Drive performance analysis and decision support • Lead performance analysis across products, services, and business unit initiatives., • Partner with US and Korean executives to sharpen and accelerate decisions., • Develop a KPI and reporting framework ensuring and accurate and consistent structure that blends into the group consolidated processes., • Support the team on key business third-party relationships were they drive revenue and expenses. Own US financial modeling and quantitative simulation • Model strategy, pricing, product launches, and organizational changes to find the optimal. path forward., • Be able to explain why the strategy holds up under stress., • Be the bridge between US operations and Korean colleagues, • Translate financial signals across two regulatory contexts (SEC/FINRA ↔ FSC/FSS), two languages, and two operating cultures., • Run cross-border conversations with US business leaders, Korean executives, product teams, and external partners. Lead US finance operations • Own financial close, US GAAP reporting, and the external audit relationship., • Manage US tax, regulatory compliance, and capital structure for our US entities., • Build the function, not just operate it. Qualifications • 10+ years in finance, FP&A, strategy, or management accounting, with leadership experience in the US., • Currently working in the US as Director of FP&A, Head of FP&A, VP Finance, or equivalent a financial services, fintech, or growth-stage company., • Bilingual in Korean and English at a professional level. Comfortable operating effectively in both US business contexts and Korean HQ culture., • Has personally led entity-level or division-level financial strategy from direction-setting through execution, not just analysis handoffs., • Frames direction for the organization from a financial lens., • Drives cross-functional alignment proactively with business leaders, executives, and external partners., • Curious mindset: Asks "why are we doing it this way" and builds better structures, doesn't accept the status quo. Job Specification • Location: New York, NY (with required 3 - 6 month rotation at Toss Securities Korea (on-site and travel and accommodation will be supported)., • After rotation: Relocate back to the US to lead financial strategy and operations., • Reports to: CEO Toss Securities US, • Direct Reports: Director & FINOP, Accounting Manager., • Travel: US–Seoul travel expected post-rotation 2 trips per year. Preferred • Prior CFO, VP Finance, or Head of Finance role at a US-listed or pre-IPO fintech, broker-dealer, asset manager, or financial services firm., • US securities or fintech background, retail brokerage, crypto, asset management, or trading platforms (e.g., experience at firms like Robinhood, Coinbase, Schwab, SoFi, IBKR, or similar)., • Fluent with ERP, Tableau, Excel, BI tools, and AI tools (Claude, Codex, etc.) for financial automation., • Familiar with both US GAAP and K-IFRS and cross-border reporting. Equal Opportunity Employer TSUS is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Founding Account Manager – SaaS Location: New York City – 5 days onsite Salary: $104K–$144K base | $130K–$180K OTE, depending on experience Experience: 2–6 years Account Management experience We’re partnering with a fast-growing software company in NYC to hire their Founding Account Manager. This is the first dedicated Account Management hire within the business, taking ownership of an existing customer base of 200+ customers and leading retention, renewals, expansion and account growth. You’ll work directly with the founders and have the opportunity to build the Account Management playbook from the ground up, while owning a significant book of recurring revenue. What you’ll be doing • Own a portfolio of existing customers across SMB, Mid-Market and/or Enterprise, • Take direct ownership of retention and renewals, • Identify and close upsell, cross-sell and expansion opportunities, • Run regular customer check-ins and QBRs for larger accounts, • Drive product adoption and ensure customers are getting value from new features, • Proactively identify churn risks and opportunities for account growth, • Build processes, dashboards and automations to improve visibility across the customer base, • Gather recurring customer feedback and work closely with Product on feature requests and roadmap priorities, • Help build the Account Management and post-sale function from the ground up What we’re looking for • 2–6 years of Account Management experience, • At least 2 years working within a software/SaaS company, • Experience owning a portfolio/book of existing customers, • Direct responsibility for renewals and retention, • Proven experience driving upsells, cross-sells and account expansion, • Experience managing SMB, Mid-Market and/or Enterprise customers, • Commercial mindset and comfortable owning revenue targets, • Comfortable operating in a fast-paced environment where processes are still being built, • Strong customer-facing and stakeholder management skills, • Startup experience is a bonus, but not essential Why join? This isn't an established AM role where you're stepping into an existing process. You'll be the Founding Account Manager, working directly with the leadership team and helping define how the company manages, retains and grows its customer base. The business already has 200+ existing customers, giving you an established portfolio to work with from day one, while still offering the ownership and impact of an early-stage hire. There is also significant scope to help build out the wider post-sale function as the company continues to scale. Compensation Base Salary: $104K–$144K OTE: $130K–$180K Compensation dependent on experience. Location New York City – 5 days per week in the office. Candidates must already have unrestricted US work authorization. Visa sponsorship is not available. Interview Process Stage 1: Initial conversation with Co-Founder Stage 2: 1-hour Case Study • Stage 3: Onsite interviews & Team Dinner – approximately 4 hours

Own the building systems from the first sketch to the day residents move in. At most builders, the MEP lead inherits a finished set of drawings and spends two years managing the consequences. Our client and the general contractor are the same company. You will be in the room when the systems are chosen, you will write the scopes and buy the trades, and you will be on site until the building is commissioned and handed over. The role You will be our internal lead for mechanical, electrical, plumbing, fire protection and related systems across the portfolio. This is a senior, hands-on position with a path to leading MEP for the whole company. What you will do • Lead MEP design from concept through construction documents, directing our engineers and specialty consultants and challenging recommendations that do not hold up., • Choose major systems on the merits: performance, cost, energy use, acoustics, maintainability and what they do to the architecture., • Run design, constructability and BIM coordination reviews so problems are solved in the model, not in the field., • Write the MEP trade scopes and bid packages, level the bids, negotiate and buy out the work., • Review budgets, long-lead equipment, shop drawings, submittals, RFIs and change orders., • Be on site regularly, lead subcontractor coordination and drive issues to resolution., • Manage utility, permitting and inspection requirements with DOB, FDNY, DEP and Con Edison., • Lead commissioning and turnover: startup, testing, balancing, controls, closeout and training., • Turn what we learn into A&P's MEP standards for every future project. In your first year • Every project in design gets an MEP review led by you at each milestone., • You buy out your first MEP trades on scopes you wrote., • You commission and turn over a building., • You issue the first edition of our MEP standards. What you bring • 10 to 15 or more years of MEP experience, including ground-up projects you took from design through buyout, construction, commissioning and turnover., • Recent New York City experience and working knowledge of its codes, agencies and utilities., • Hands-on experience writing MEP scopes, leveling bids and negotiating with subcontractors., • Technical depth across HVAC, electrical distribution, plumbing, fire protection, life safety and controls., • Fluency with BIM coordination and with Revit, Bluebeam, Procore and AutoCAD., • A degree in mechanical or electrical engineering, construction management or a related field. A PE license is a plus, not a requirement., • High-rise or luxury residential, hospitality or similar design-intensive work is strongly preferred. If your best work was on another building type and you can show the same range, we want to hear from you. Compensation and benefits Base salary range: $200,000 to $230,000, commensurate with experience. Benefits include healthcare with an employer contribution, commuter benefits and a 401(k) with employer match.

Atlas Search is partnering with a growing, publicly traded digital infrastructure company that develops and operates data centers supporting AI and high-performance computing. They are hiring a Corporate Controller in New York. You will report directly to the CEO and own corporate accounting end to end: the close, multi-entity and intercompany accounting, and financial reporting. You will also lead a four-person offshore accounting team and build the systems, processes, and controls the function needs to scale. This is a hands-on role, with the opportunity to add US headcount as the business grows. Location: NYC (5 days/week onsite) Compensation: $140,000 to $160,000 What You'll Do • Own the monthly close, general ledger, journal entries, and account reconciliations, • Oversee accounting across multiple entities, including intercompany activity and consolidated financial information, • Lead and develop a four-person offshore accounting team, setting clear priorities, deadlines, and review procedures, • Provide accurate, timely financial information to the CEO and help management understand business performance, • Establish and strengthen accounting policies, documentation, and internal controls, • Complete the rollout of Brex, including expense workflows, approval processes, and integration with accounting, • Improve the use of QuickBooks and supporting systems to increase accuracy, efficiency, and visibility, • Automate repetitive accounting tasks and put AI tools to practical use in daily workflows, • Support accounting for data center operations, development activity, and real estate transactions, • Coordinate with external accounting, audit, and tax providers, • Help assess staffing needs and build out US accounting capacity as the business expands What We're Looking For • 7+ years of progressive corporate accounting experience with hands-on ownership of the close and financial reporting, • Multi-entity and intercompany accounting experience, • Team management experience, ideally leading people across locations and time zones, • Experience implementing accounting, expense management, or related financial systems, • Real examples of using automation or AI to improve accounting workflows, • Strong accounting fundamentals and comfort working directly in the detail, • A builder's mindset: comfortable creating structure and process in an evolving environment, • Clear communicator who is confident working directly with the CEO Preferred • Real estate accounting experience (development, leasing, or property-level entities), • QuickBooks experience (strongly preferred), • Brex experience, • Startup or high-growth company background The Environment A growing public company with a lean finance team and direct access to the CEO. This role is full-time in office in New York City, working Eastern business hours.

The opportunity Healthcare's revenue systems were not built for the AI era. In an age of abundance, care is bound by slow decisions, fragmented data, and slow payment cycles. About Us We are redesigning healthcare's industrial infrastructure. Our platform creates a simpler reimbursement layer for medical providers, unleashing the potential for AI-led and AI-enabled care. Our NYC-based team is lean, founder-led and already supporting great brands in healthcare. Our venture is backed by leading early-stage investors and angels. Before building the Healthcare Infrastructure Company, our founding team built and scaled high-growth venture-backed businesses in tech and digital health. About the role We're hiring a high-energy ops whiz to join our team build from the ground up, working directly alongside our CEO, CTO, and team. The right person for this is role is someone who is scrappy, intelligent, detail-oriented and low-ego. For our team, there is no task too big and no task too small. As a founding engineer, you’ll wear many hats at once! The main buckets of work will be: • Platform. Build the systems of instant decisions for claims, eligibility, payments, and the workflows that our customers live in every day., • Automated Intelligence. Insurance runs on unstructured chaos: faxes, EOBs, payer portals, phone calls. You'll build the AI pipelines that turn that mess into structured, trustworthy data — and the guardrails that make it safe to act on., • Integrations. Clearinghouses, payers, EHRs. Every one of them is different and none of them is modern. You'll make them look like one clean system to everyone downstream. We work hard and have fun doing it; this role will be in-person, 5+ days a week. If you are seeking for a role that you can turn off notifications at 5pm, this won’t be the best fit! Who you are Here are profiles we’re interested in: • Someone excited about making a career-defining leap, • 2-10+ years of experience shipping production software, ideally inside a high-growth startup, owning features end to end; experience with healthcare claims is a huge plus, • Proactive, self-motivated, and capable of owning, collaborating, and coordinating around their work independently, • Fluent in the modern JavaScript stack: TypeScript, Next.js, React, Node, with experience designing modular backends, and Python, • Experience building agentic systems (with Claude SDK, for example), • Detail-oriented and low-ego: with teammates, customers and vendor, • Former (or aspiring) founder Our Values • Learn by doing, • Speed over perfection, • Ask for forgiveness, not permission, • Have fun! What we offer • Early-stage equity, • A front-row seat to building a company from first principles, with direct ownership from day one, • A charming Chinatown office (Manhattan), • Health Benefits and 401(k), • Lunch on the company

Customer Success Manager AI-Native Wealthtech | New York, NY (Hybrid, 3 days in office) Compensation: $130,000 to $165,000 base + variable + equity About the Company Our client is a fast-growing, AI-native platform for wealth transfer and estate planning. The platform turns complex estate and ownership documents into structured data that powers client-ready visualizations and tax and scenario modeling. It is trusted by 1,000+ firms, from top wealth managers, private banks and trust companies to national tax practices and leading law firms. Fresh off its Series A, the company is scaling its Customer Success team as it expands into trust administration and estate settlement. About the Role The Opportunity As a Customer Success Manager, you will own the customer relationship from contract signing through renewal. You will partner with wealth advisors, attorneys and their teams to drive adoption, deliver measurable value and grow accounts. This is a high-visibility role on a small team with real input into how Customer Success scales, including a planned move to segmented SMB, mid-market and enterprise books over the next 18 months. Responsibilities • Own a book of business end to end, including onboarding, adoption, renewals and expansion, • Partner with Sales on handoff and build mutual success plans with clear first-year goals, • Lead platform training aligned to each customer's goals, and run regular strategic business reviews, • Build deep relationships across customer firms, from executives to day-to-day advisors and operations staff, • Identify expansion opportunities and drive revenue growth across your accounts, • Bring customer insights back to Product and Engineering to shape the roadmap, • Develop strong platform and trust and estate knowledge, supporting customers as needed Qualifications • 3+ years as a Customer Success Manager in B2B SaaS, with 5 to 8 years of total experience, • Experience working with wealth management firms, RIAs, family offices, or trust and estate professionals, • A track record of owning renewals and expansion, not just onboarding or support, • Comfort working with polished, client-facing users who expect a high level of service, • Strong project management skills and the ability to turn data into customer insights, • High agency and a low ego: resilient, empathetic, accountable and proactive Preferred Skills • Wealthtech, fintech or private markets software experience, • Familiarity with estate planning, trusts or wealth transfer concepts, • Enterprise account experience, or interest in helping build out an enterprise segment, • Early-stage startup experience helping build Customer Success processes Pay range and compensation package • Compensation: $130,000 to $165,000 base + variable + equity, • 100% employee health coverage, 4 weeks PTO, 401(k), parental leave, and monthly wellness, commuter and education stipends

Commercial Account Executive - AI Service Management SaaS Go To Market | NYC, NY | On-site | Full-time About the Company Our client is an early-stage AI service management platform that resolves employee requests end-to-end with full context - the people, systems, services, and policies that define how an organization actually runs. Requests that used to take days resolve in minutes, right where employees already work. About the Role This is a high-velocity, full-cycle sales role selling an AI-native service management platform to IT leaders at growing organizations (under ~2,000 employees). You'll own everything from first outreach through close, and as an early go-to-market hire, you'll help define the sales motion from day one. Responsibilities • Own the full new-business sales cycle, moving deals with speed and consistency., • Generate much of your own pipeline through proactive outbound and disciplined follow-up., • Run a high volume of active opportunities without losing the thread on any of them., • Sell the AI-native difference credibly, showing buyers how the platform transforms their service operations rather than just replacing a tool., • Partner with the CEO, engineers, and product managers to shape the story, feed the roadmap, and refine positioning., • Forecast accurately and keep the CRM current. Qualifications • 1-3 years of full-cycle closing experience in B2B SaaS, or a strong SDR/BDR ready to step into a closing role., • Hungry and self-motivated - you generate your own pipeline and thrive on volume and velocity., • Coachable, with solid fundamentals in discovery and qualification., • Comfortable managing many active opportunities in a fast-paced startup environment. What They Offer • The chance to own critical revenue relationships and shape how the company sells as it scales., • A culture that values craftsmanship, autonomy, and technical excellence., • Competitive compensation, equity, benefits, and aggressive accelerators for overachievement., • On-site five days a week in a Manhattan office, side-by-side with the founding team. Travel to customers and events as needed. Compensation: $80,000 base / $160,000 OTE (inclusive of commission) USD.

About the Role Abacus Business Computer (abcPOS) is a New York City-based POS systems company providing end-to-end solutions, including POS systems, merchant services, and growth marketing. With over 30 years in the industry, abcPOS serves more than 6,000 customers and supports 40,000 installed devices across restaurants, retail, e-commerce, and franchise businesses. We are looking for a Product Manager with strong UX/UI design capabilities who can own the full product lifecycle while also contributing hands-on to user experience and interface design. This role requires someone who thrives in a fast-paced environment and can bridge product strategy with execution across both hardware and software platforms. Must be fluent in both Mandarin (Chinese) and English. Responsibilties: Product Ownership & Strategy • Own the end-to-end product lifecycle, including market research, planning, positioning, roadmap development, requirements definition, and product launch., • Define and evolve product strategy based on customer insights, industry trends, and business goals, • Translate product vision into detailed technical requirements for engineering teams., • Create product documentation including business cases, use cases, technical specifications, and ROI analysis. UX/UI Design & Experience • Lead the UX/UI process from research to final design across POS terminals (handheld, stationary, kiosks), mobile apps, dashboards, and customer-facing interfaces, • Design intuitive, user-centered experiences across web, mobile, and hardware platforms, • Produce wireframes, prototypes, high-fidelity mockups, and interaction specifications, • Simplify complex workflows into clean and efficient user experiences, • Contribute to and evolve the company’s design system Cross-Functional Collaboration • Work closely with engineering teams (US/China), marketing, and business teams to drive product development, • Collaborate across teams to align product goals, user needs, and technical feasibility, • Coordinate with QA, tech support, and sales to ensure successful product releases, • Lead design reviews and facilitate cross-functional discussions Market & Customer Focus • Conduct market and customer research to identify product opportunities, • Define product positioning and messaging to differentiate abcPOS, • Support go-to-market strategies, including customer engagement and sales enablement Qualifications • Bachelor’s degree in product design, engineering, or a related field, • Proven experience managing the full product development lifecycle, • Prior UX/UI design experience., • Proficiency in design tools such as Figma, Sketch, Adobe XD, or similar, • Excellent cross-functional communication and project management skills, • Ability to thrive in a fast-paced, dynamic environment, • Fluent in both Mandarin (Chinese) and English Preferred Qualifications • Experience in the POS industry, especially within hospitality, • Background in software or web development, • Experience working in startup environments, • Strong understanding of UX principles and design methodologies

About the Role HelixIntel is looking for a Founding BDR to join our growing sales team and help us build and accelerate our insurance partner pipeline. This is a high-activity, high-visibility role designed for someone who has already proven they can generate pipeline and is ready to take the next step toward a closing role. You will identify, engage, and qualify opportunities across insurance carriers, MGAs, program administrators, public entity risk pools, and brokerages. This role is a direct track to an Account Executive position for the right candidate. InsurTech is one of the fastest-growing sectors in B2B SaaS, and HelixIntel is positioned at the center of it. If you are hungry, coachable, and ready to grow into a full-cycle closer within a booming industry, this is the opportunity for you! What You Will Do • Execute high-volume outbound prospecting campaigns across phone, email, LinkedIn, and industry channels to generate qualified meetings and pipeline opportunities • Research target accounts and key stakeholders to craft personalized outreach tied to business priorities, operational challenges, and market trends • Build and nurture relationships with prospective customers through thoughtful, value- driven engagement • Identify and engage decision-makers within carriers, mutuals, MGAs, pools, program administrators, and brokerages • Partner closely with marketing to refine messaging, target accounts, and campaigns based on market feedback and engagement insights • Maintain accurate pipeline activity, account intelligence, and engagement tracking within Salesforce • Represent HelixIntel at conferences, trade shows, and industry networking events, • Support account-based marketing and outbound strategies that drive long-term pipeline growth and future enterprise sales opportunities What You Will Bring • 6 to 12 months of BDR or SDR experience with a documented track record of hitting or exceeding quota • Demonstrated success in cold calling, including comfort with high-volume phone outreach • A people-first mindset: you genuinely enjoy meeting people, building relationships, and representing a brand in person • Willingness and availability to travel for conferences and client meetings, • Strong written and verbal communication skills, • Proficiency with CRM tools (Salesforce preferred) and outreach platforms (LinkedIn Sales Navigator, Outreach, or similar) • A competitive, coachable attitude and a desire to grow quickly into a full closing role, • Interest in or exposure to insurance, insurtech, or B2B SaaS is a plus About HelixIntel HelixIntel is on a mission to make facility management simpler, smarter, and safer. Our platform gives maintenance teams the tools to stay organized and proactive, while helping insurance partners reduce risk and protect what matters most. By combining a powerful CMMS with data- driven insights and predictive risk management, we’re changing how organizations care for their buildings, equipment, and people while helping insurers move from paying for losses to predicting and preventing them. We’re bringing together the worlds of maintenance and insurance in a way that’s never been done before, and we’re just getting started. Join us and help build the future of how facilities are managed and protected. About Our Team At HelixIntel, we are building a diverse team. We are committed to equal employment opportunities regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity, or expression. We are proud of our diversity and strive to reflect the society we contribute to. HelixIntel is a team of individuals who are passionate about delivering quality and fostering genuine relationships. What We Offer • A culture that puts family and personal life first, • Teammates with startup experience to keep us on the right track, • Medical, dental, and vision coverage, • HSA/FSA, • 401k, • Unlimited PTO, • Health and wellness stipend, • Flexible work hours, • Hybrid schedule Compensation HelixIntel is committed to equal pay for equal work. The base salary range for this position is $60k–$85k per year plus variable/incentive compensation and benefits with an OTE for the position of $110-120K. Location This role is based in New York City, NY or Buffalo, NY with an expectation of at least three days per week in office. Additional travel includes: • Attendance at relevant trade shows, conferences, and team gatherings If you are looking for a great opportunity with a dynamic company in a fast-growing industry, this role is for you! To apply, please complete the steps required below.

About Clark Clark is building the trust infrastructure for the AI economy. We're starting with audit and accounting workflows—high-trust environments where reliability, accuracy, and security matter as much as productivity. Our platform helps firms automate complex audit workflows, deploy AI safely, and modernize how audit teams operate. The Role We are hiring Founding Account Executives to drive growth across new and existing customers. As one of the earliest members of the sales team, you'll shape Clark's go-to-market strategy, identify and close new opportunities, deepen relationships with key accounts, and help expand Clark across more teams, workflows, and use cases. Why This Role Matters Clark’s growth depends on winning new business and driving expansion within our live customer base. As an Enterprise Account Executive, you’ll ensure Clark reaches new clients, captures expansion thoughtfully, and always maintains strong customer trust. What You'll Do • Own revenue targets across both new logo acquisition and existing customer growth, • Identify and qualify new prospects, • Build and expand relationships with partners, executives, and champions at customer firms, • Run discovery, demos, proposals, and commercial conversations end-to-end, • Collaborate closely with Customer Success and Implementation to ensure customer satisfaction and ongoing growth, • Maintain clean CRM hygiene and accurate forecasting, • Help turn successful implementations into broader account growth, • Avoid pushing expansion before customers are ready, focusing on creating long-term value, • Contribute to building and refining Clark’s sales processes and playbooks Who You Are • 4+ years of B2B SaaS sales experience, • Proven ability to acquire new customers and expand existing accounts, • Strong discovery and consultative selling skills, • Able to build trust with senior stakeholders, • Excellent commercial judgment and disciplined account planning, • Comfortable selling early-stage products, • Strong collaboration with customer-facing teams Bonus: • Experience selling into accounting, audit, compliance, fintech, legaltech, or professional services, • Experience with vertical SaaS or workflow software, • Experience with AI-native products, • Experience selling to partners, executives, or firm leadership The Environment • 5 days a week on-site in NYC—no remote or hybrid, • Startup hours and pace—this isn't a 9-to-5, • Flat structure, no hierarchy—everyone ships, • High ownership—you own outcomes, not just tasks Benefits • Unlimited PTO, • Wellhub Platinum membership, • Comprehensive health, dental, and vision coverage, • Free company dinner every day

A leading global financial services organization is building a dedicated AI capability within its Investment Banking organization and is seeking an AI Product Lead who can bridge deep business understanding with hands-on technical execution. This is not a traditional product-management or requirements-gathering role. You will work directly with senior AI leadership and Investment Banking professionals to identify high-value opportunities, rapidly prototype AI-powered applications, validate their business impact, and help drive successful solutions into production and adoption. The ideal candidate brings experience from Investment Banking or a closely adjacent deal-oriented financial environment and has developed genuine hands-on capability building LLM-powered applications. You should understand how bankers work while also being technically credible with engineers. Responsibilities • Identify high-friction Investment Banking workflows and translate them into practical AI opportunities., • Design and build AI-powered tools supporting workflows such as pitch preparation, comparable-company analysis, diligence, document preparation, client research, and market surveillance., • Own the early product lifecycle from opportunity identification and data sourcing through prototyping, validation, deployment, and adoption., • Integrate LLM applications with financial-data platforms, APIs, internal databases, and enterprise systems., • Develop context pipelines, evaluation approaches, guardrails, and agentic workflows., • Partner closely with bankers, analysts, associates, engineers, security, legal, and other stakeholders., • Evaluate opportunities based on feasibility, implementation cost, business value, risk, and expected ROI., • Monitor adoption, usage, performance, time savings, and business outcomes for deployed solutions. Role Requirements • Approximately 1–4 years of experience in Investment Banking, corporate finance, M&A advisory, capital markets, equity research, or a closely adjacent financial-services environment., • Strong working knowledge of Investment Banking workflows such as pitching, financial modeling, comparable-company analysis, CIM/OM preparation, diligence, origination, and execution., • Hands-on experience building LLM-powered applications beyond tutorials or basic prompt engineering., • Ability to rapidly prototype across data integration, backend logic, and user-facing applications., • Intermediate proficiency in at least one programming language., • Understanding of LLM context design, evaluations, guardrails, and cost/quality tradeoffs., • Ability to determine when agentic workflows are appropriate and when simpler solutions are more effective., • Strong communication skills with the ability to work across senior business and technical stakeholders., • Ability to operate independently in ambiguous, fast-moving environments., • Bachelor’s degree required. Nice to Have • Experience deploying generative AI products into production., • Experience with financial-data platforms such as PitchBook, FactSet, Bloomberg, or SEC EDGAR., • Startup, fintech, AI-product, or entrepreneurial experience., • Experience building AI applications within regulated or data-sensitive environments., • Exposure to crypto, digital assets, trading, brokerage, or asset management.