Voice engineer jobs in Bayonne, New Jersey - Page 2Create job alerts

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Fullstack Software Engineer | AI-Native Healthcare Platform Location: New York, NY (In-Person) Experience: 3–7 Years Comp Range: $220,000 - $250,000 + Equity The Opportunity TechStaffers is partnering with a high-growth, venture-backed startup with $4 million in funding that is redefining how healthcare providers handle administrative workflows. This isn't just another SaaS dashboard; they are building an agentic AI platform designed to automate the complex, manual processes inherent in Revenue Cycle Management (RCM). As an early engineer, you will work on the frontier of AI application, building voice AI, browser agents, and generative features that interact directly with human operators. You’ll be tasked with taking products from 0-to-1 and scaling them from 1-to-X in a space that is desperate for modernization. What You’ll Do * Architect Agentic Workflows: Partner directly with customers to prototype and productize end-to-end solutions using LLMs, voice AI, and browser automation. * Fullstack Ownership: While slightly backend-leaning, you will build the React/Next.js interfaces and the robust Python backends that power these autonomous agents. * Customer-Centric Engineering: Develop deep domain expertise in healthcare billing to make high-level product decisions and empathize with the end-user. * Bridge AI and UX: Solve the unique challenge of how humans and AI agents interact within a seamless software environment. The Tech Stack * Backend: Python (Primary) * Frontend: React, Next.js, TypeScript * Infrastructure: AWS Who You Are We are looking for a high-agency engineer who thrives in the "controlled chaos" of a high-growth startup environment. Required Qualifications: * Startup Pedigree: 3–7 years of experience, specifically at high-growth, high-caliber startups (e.g., the early days of Stripe, Samsara, or similar). * Fullstack Proficiency: Strong Python skills with solid experience in React and Next.js. You should be comfortable leaning into the backend but capable of shipping polished UI. * Proof of Excellence: You have a track record of high achievement (e.g., Neo Scholar, experience at a top-tier firm, or a degree from a top 30 university). * Zero-to-One Experience: You have a history of building and launching products from scratch. * The "In-Person" Mindset: You value the velocity of working side-by-side with a tight-knit team in a New York office. Preferred Traits: * Industry Interest: A genuine excitement to solve "unsexy" but high-impact problems in healthcare billing. * Autonomous & Direct: You enjoy working directly with customers to gather feedback and iterate quickly. Note on Culture Fit: We are looking for builders, not maintainers. If your experience is exclusively in "Big Tech" or you have a history of frequent job-hopping (less than 18 months per role), this likely won't be the right fit. TechStaffers is a technical recruiting company partnering with VC-funded start-ups across the United States. More information at .

Job Description Wilson Elser is a leading defense litigation law firm with more than 1400 attorneys in 46 offices throughout the United States. Founded in 1978, we rank among the top 100 law firms identified by The American Lawyer and 36 in the National Law Journal's survey of the nation's largest law firms. The Position We're looking for a Senior Network Engineer to own and evolve our enterprise network across multi-site and cloud environments. You'll be a key technical voice shaping infrastructure strategy, driving security posture through zero-trust principles, and ensuring high availability for business-critical systems — all while working remotely on a collaborative, senior-level team. Key Responsibilities Design & Architecture • Architect scalable, resilient network solutions including routing/switching, SD-WAN, firewalls, VPN, QoS, and zero-trust segmentation., • Define requirements, evaluate technologies, and lead infrastructure changes from design through implementation., • Perform proactive maintenance — patching, upgrades, tuning, and health monitoring across the networking estate., • Manage vulnerability findings and vendor security advisories for network equipment and systems., • Maintain accurate network documentation, configuration baselines, and topology diagrams., • Partner with security, infrastructure, and application teams to support firm-wide initiatives., • Evaluate emerging technologies and translate their impact into actionable recommendations., • Serve as a technical mentor and backup resource across the Network Engineering team., • 10+ years of hands-on network engineering experience across multi-site enterprise environments, • Bachelor's degree in Computer Science, Information Technology, or a related field — or equivalent professional experience., • Palo Alto Firewalls - Production deployment, policy management, and troubleshooting of Palo Alto NGFW (Panorama experience a strong plus)., • Cisco ACI - Hands-on experience with Nexus 9300/9000 series in ACI mode — fabric design, EPG/contract configuration, and troubleshooting., • Proven ability to architect, implement, and troubleshoot complex, multi-vendor network infrastructure., • Strong documentation habits — you leave networks better documented than you found them., • Ability to translate ambiguous business requirements into clear, implementable technical designs., • Excellent communication skills — comfortable presenting to both engineers and executives., • Strong project management instincts with the ability to juggle multiple workstreams independently., • A collaborative, team-first mentality balanced with the ability to drive work autonomously., • Routing & Switching, • Deep expertise in enterprise routing protocols (OSPF, BGP) and switching (VLANs, port channels, spanning tree, QoS) across multi-site environments., • Cisco certification at the professional or expert level (CCNP, CCDP, or CCIE) strongly preferred., • Experience in professional services, financial services, or legal industry environments., • Familiarity with network automation tooling (Ansible, Python/Netmiko, Terraform for network infra)., • Experience with public cloud networking (AWS, Azure) and hybrid connectivity patterns., • Exposure to Panorama for centralized Palo Alto management at scale., • Core Networking, • SD-WAN (Silver Peak / HPE Aruba EdgeConnect) — deployment, policy, and optimization, • DMVPN, IPSec VPN, and secure remote access architectures, • Load balancing (Citrix NetScaler / ADC) — configuration, SSL offload, and health monitoring, • Wireless networking via Cisco Meraki — deployment, RF planning, and troubleshooting, • Network tapping and packet capture solutions for visibility and forensics, • Security & Zero Trust, • Zscaler (ZIA/ZPA) — implementation, policy configuration, and troubleshooting, • ACL development and firewall policy lifecycle management, • Zero-trust network segmentation principles and implementation, • WAF configuration and proxy infrastructure, • Collaboration & Voice, • Cisco Call Manager (CUCM) and Unity Connection — administration and troubleshooting, • Network monitoring and management platforms (SolarWinds, PRTG, or equivalent) A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $135,000—$150,000 USD Why Should You Apply? • Benefits: Outstanding benefits package, including 401k match and generous PTO plan, • Career Growth: Ample opportunities for professional development and advancement

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Director of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description JOB TITLE: Maintenance Engineer REPORTS TO: Chief Engineer Purpose for the Position: To maintain the Hotel areas and all Hotel assets to an acceptable quality standard. Essential Responsibilities: • Provides professional and courteous service at all times., • Assists Chief Engineer with all maintenance and preventative maintenance to include: refrigeration, heating, plumbing, water treatment, preventative maintenance, convention center front and back of house spaces, A/C units, ice machines, lighting, kitchen equipment, emergency generators, water softeners, switch rooms, roof exhausts, electrical substations, etc., • Monitors electric, gas and water consumption., • Ensures all projects are completed according to specifications and are completed on time., • Understands and practices all lock out-tag out procedures in accordance with OSHA standards., • Perform all guestroom and public area preventive maintenance services as outlined for your hotel., • Performs maintenance checks of equipment and logs properly., • Reports all safety and security concerns to the Chief Engineer or the Manager on Duty immediately., • Ensures all key inventories are secure., • Responds to all emergency situations prepared to assist., • Participates in ongoing maintenance programs for event space, public space, kitchens and all convention center equipment., • Performs inventory duties as required., • Maintains cleanliness of grounds and attractiveness of landscaping., • Ensures cleanliness and orderliness of all work space and storage areas., • Attends monthly staff meetings., • Understand the technologies required in the work you are directly., • Work with a variety of situations., • Solve problems using facts and personal judgment., • React quickly in emergency situations and make decisions that may involve a great amount of money or the safety of others., • Work with different kinds of people., • Change easily and frequently from one activity to another. Environmental Conditions: Both: Inside and outside: A job is considered “both” if the activities occur inside or outside in approximately equal amounts approximately 75% or more of the time inside. Noise and Vibration: Sufficient noise, either constant or intermittent, to cause marked distraction or possible injury to the sense of hearing, and/or sufficient vibration (production of an oscillating movement or strain on the body or its extremities from repeated motion or shock) to cause bodily harm if endured day after day. Temperature Changes: Variations in temperature which are sufficiently marked and abrupt to cause noticeable bodily reactions. Math Skills: Requires mathematical development sufficient to be able to: Compute ratio and proportion and percentages. Calculate surface, volumes, weight and measures. Language Skills: Must have developed language skills to the point to be able to: Read instructions, safety rules, etc. Speak with poise, voice control and confidence using correct English and well-modulated voice. Relationships to Data, People and Things: Data: Compiling: Gathering, collating or classifying information about data, people or things. Reporting and/or carrying out a prescribed action in relation to the information is frequently involved. People: Speaking-Signaling: Talking with and/or signaling people to convey or exchange information, including giving assignments and/or directions to helpers or assistants. Things: Handling: Using body members, hand tools, and/or special devices to work, move, or carry objects or materials. Specific Vocational Preparation: Specific Vocational Preparation includes an occupationally significant combination of: vocational education, apprentice training, in-plant training, on-the-job training, or essential experience in less responsible jobs which lead to the higher job or serving in other jobs. Over 3 months up to and including 6 months.

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role We're building Sales Engineering at Syndio—and we're looking for a founding-level Senior Sales Engineer to help define what "great" looks like. In this role, you'll lead high-stakes discovery, deliver executive-ready demos to stakeholders like CHROs and technical/security teams, and become the trusted voice when questions get deep (data, integrations, security, and AI/PII). You'll also be a critical bridge between Product and Revenue, turning field insight into sharper demos, stronger enablement, and clearer product feedback loops. Why this role is exciting Sales & Technical Wins • Partner with AEs across the full sales cycle — from discovery through close — owning the technical narrative in every prospect engagement., • Deliver compelling, tailored product demonstrations to CHROs, Compensation leaders, CFOs, and technical buyers, adapting the story to each persona's priorities., • Lead technical discovery to map prospect pain points — compensation inconsistency across business units, compliance obligations spanning multiple jurisdictions, fragmented data ecosystems, pay decision risk — to Syndio's platform capabilities., • Build and run proof-of-concept engagements, working with prospect data where appropriate to demonstrate measurable impact., • Translate complex analytical concepts — compensation modeling, pay decision frameworks, statistical analysis — into business language that resonates with non-technical stakeholders., • Build and maintain interactive demo environments and sandbox instances that showcase Syndio's full platform, • Create reusable demo assets (guided flows, scenario-based walkthroughs, synthetic datasets) that reduce prep time and raise the quality bar for every sales conversation., • Develop ROI models, competitive battle cards, and technical one-pagers that accelerate deal velocity., • Feed structured field intelligence back to Product — surfacing prospect objections, feature gaps, competitive dynamics, and emerging use cases., • Collaborate with Product and Engineering on beta programs, design-partner sessions, and early-access previews with strategic accounts., • Build the SE function's operating model: engagement rules, coverage models, tooling stack, and success metrics., • Mentor and onboard future SE hires as the team grows.Basic Requirements:, • Enterprise SE Experience: 5+ years supporting complex, Fortune 500 customers and handling sensitive PII., • Security & Compliance Fluency: InfoSec conscious with knowledge of SOC 2, encryption, and AI risk management., • Technical Proficiency: Solid understanding of APIs, integrations, and enterprise LLM usage., • Executive Communication: Masterful storytelling and presentation skills for high-stakes executive audiences., • Domain Bridge: Ability to translate complex analytical and AI concepts into business language., • Strategic Demo Design: Designing tailored demonstrations that resonate with both HR leaders and technical buyers., • Curious & Adaptive: High curiosity and the ability to rapidly self-teach new software and domains.About You:, • You are a "Technical Visionary": You don't just follow a checklist; you look at a client's data and requirements, and see the most efficient path to value., • You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform., • You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer., • You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.\, • You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.Why you'll love it here:, • 💰 Competitive Compensation. For this role our salary is $185,714 – $214,286 OTE per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future, • Master the Syndio platform and core technical narrative, and internalize the competitive landscape., • Shadow sales cycles, discovery calls, and technical discussions to integrate with core Account Executive partners., • Independently lead the technical narrative for standard enterprise deals, from discovery through masterclass-level demos., • Build or maintain at least one interactive demo environment or synthetic dataset., • Successfully complete a technical voice task like an RFP response or a security review., • Be fully ramped, leading the technical sales cycle for the most complex, high-stakes enterprise accounts., • Contribute to building the SE function's operating model, such as engagement rules, coverage models, or success metrics., • Develop a new reusable demo asset, ROI model, or technical one-pager that accelerates deal velocity for the team., • Intro Call with Talent Partner (30 min): A conversation to discuss your background, enterprise experience, and interest in the role., • Hiring Manager Interview (30 min): A technical deep dive into your experience with executive stakeholders, self-teaching new technologies, and managing sensitive data security. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What you'll be working on * Generate qualified pipeline through cold outbound and manage inbound interest * Drive top-of-funnel growth through targeted multi-channel outreach (phone, LinkedIn, email) * Advance opportunities through strategic discovery and qualification * Continuously expand and refine outbound strategy through prospecting and list curation by researching, testing, and prioritizing accounts * Partner with AEs to seamlessly advance qualified leads through the sales cycle * Act as Clarion's first voice to the market by representing our mission with credibility and empathy Requirements * 1+ years of experience in sales development, with a proven ability to drive cold outreach, run outbound campaigns, and consistently generate pipeline * Exceptional communicator with strong verbal and written skills, able to craft compelling messaging and confidently engage executives from day one * Gritty and self-motivated, with a bias toward action, persistence under pressure, and comfort navigating ambiguity in a fast-paced environment * Detail-oriented and metrics-driven, constantly focused on execution * Healthcare interest or experience: You're curious about healthcare workflows and challenges; experience selling into healthcare orgs is a strong plus * Sales tools fluency: Proficient with CRMs, outreach platforms, Sales Navigator, and other sales enablement tools * Excited to work from our NYC office 5 days a week You are a good fit if * You're naturally curious and creative, always asking sharp questions and thinking critically about how AI can improve healthcare operations * You're relentless, pushing through roadblocks with resilience and a solutions-first mindset * You're meticulous and organized, managing your pipeline with precision and never letting details slip * You're a systems thinker, constantly analyzing and improving what works to drive scalable results * You bring focused energy and genuine enthusiasm, showing up motivated by the mission every single day What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (20 min) [Virtual]: Quick conversation about your sales experience and passion for healthcare transformation. * Outreach Simulation (30 min) [Virtual]: Live role-play where you'll pitch Clarion to a "healthcare executive" and handle objections. * Take-home Exercise: Create a targeted outreach sequence for a specific healthcare segment demonstrating your research and messaging skills. * Team Day (3 hours) [In-Person]: Visit our New York office to shadow live sales calls, meet the team, and present your outreach strategy. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $80K - $120K

Job DescriptionSoftware Engineer, Product — Avoca (YC) Location: New York City, NY (Onsite, 5 days/week) Base Salary: $170,000–$250,000 Equity: Competitive Visa: Not available About Avoca Avoca is a Y Combinator-backed vertical AI company transforming how home services businesses convert demand into revenue. The platform automates inbound calls using real-time voice AI, manages outbound engagement, and integrates with systems like ServiceTitan to streamline scheduling and operations. Operating in a $500B+ market, Avoca delivers 15–40% increases in booked jobs within 30 days. Raised $37M led by Kleiner Perkins and scaled from approximately 15 to 70 employees. Role Overview Product-focused full-stack engineering role where you will own features end-to-end across an expanding AI platform. You will work at the intersection of engineering, product, and real-world operational impact, building systems that directly drive revenue for customers. Core Responsibilities • Own product features from design through production and iteration, • Build real-time AI-driven user experiences, backend services, and data workflows, • Translate customer feedback into rapid product improvements, • Collaborate with Product, Customer Success, GTM, and forward-deployed teams, • Maintain high standards for testing, reliability, and operational performance, • Prioritize high-impact work in ambiguous environmentsRequirements, • 2–8 years of full-stack engineering experience (ideally 4–8 years), • Strong engineering fundamentals across backend and frontend systems, • Experience shipping production products with measurable impact, • Familiarity with AI systems, LLMs, or AI-assisted workflows, • Ability to own features end-to-end and operate independently, • Willingness to work onsite in NYCBenefits, • Health, dental, and vision coverage, • Potential rent stipend after 6 months, • Free dinner for late work hours, • High-energy in-office environment with rapid growth

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking a Software Engineer II to design and develop next-generation technologies and complex features. As a Software Engineer at StubHub, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. Over the course of your career at the company, you will have the opportunity to contribute to diverse projects and the needs of the business. The best candidates and most successful team members exhibit versatility, a growth mindset, ability to learn, and enthusiasm in tackling new challenges across the company.Location: Hybrid (3 days in office/2 days remote) – New York, NYAbout the team: The Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable.We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack, leveraging any tool or technology necessary to support web and mobile feature innovation at scale.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 3-5 years of professional experience in software development, • Extensive experience in designing large scale web applications across the entire stack using multiple general-purpose programming languages (e.g., Python, Java, C#, C/C++, Javascript), • Previous experience designing and developing solutions to complex problems with significant business impact; focus on large-scale consumer-products is preferred, • Proven ability to learn other coding languages, platforms, frameworks, and toolsWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Dealpath's engineering team core values are centered around technical excellence, collaboration, impact and execution and we're looking to add talented Engineers with a growth mindset to accelerate our product development and technical insight to build for the future. We currently have full-time software engineering opportunities available for experienced Full-Stack Engineers in our New York City, New York office. Dealpath requires employees to be in office 3 days per week. You're excited about this opportunity because you'll: • Work as part of a strong, passionate engineering team., • Rapidly build and deploy new product features to serve the needs of our growing user base., • Work closely with the product and design team to refine and prioritize features., • Work closely with the quality team to write testable code, fix bugs, and ship improvements., • Experienced and passionate about front-end development, • Usability-minded and committed to providing a great customer experience., • Analytical with solid problem solving skills., • Able to write readable, reusable, and performance conscious code., • Excited to work in a fast-paced startup environment., • Experienced in all aspects of the development cycle from collaborating with product & design to squashing bugs with QA., • BS in Software Engineering, Computer Science, or a minimum for 4 years of industry experience as a software engineer., • 4+ years experience building web application servers using technologies like Rails, Flask, or Node., • 4+ years experience building web application front-ends with technologies like Angular, React, or Vue., • A strong ability to execute both individually and as part of a team., • You have a builder mindset and get excited about solving complex engineering challenges., • You are interested in Real Estate., • Medical, dental, & vision insurance coverage, • Hybrid 3 days in office policy, • Flexible Spending Account, • Paid Parental Leave, • 401(k), • Company sponsored commuter benefits, • Flexible time off policy, • Catered lunches and snacks, • Monthly wellness reimbursement, • The estimated pay range for New York candidates for this position is $175,000 - $215,000 base., • This position is also eligible for Dealpath's equity plan., • Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process., • Your actual compensation will be confirmed in writing at the time of offer., • Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes available. Dealpath is the world's largest and most trusted real estate investment management platform. To date, Dealpath has powered over $10 trillion in transactions in partnership with hundreds of firms, from leading global institutions including Blackstone, Nuveen, LaSalle, CBRE IM, and MetLife to lean mid-market and regional organizations. Dealpath drives investment performance by uniting data, insights, and execution in a platform purpose-built for real estate, giving firms the tools they need to operate with speed and precision and unlock opportunity in a dynamic and competitive landscape where information reigns supreme. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture - we'd love to meet you!

Job Description Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations. We are seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges. Our Client is one of the United States’ largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support. Key Responsibilities: • Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics., • Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications., • Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction., • Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems., • Debug and improve existing Verint implementations for performance, scalability, and user experience., • Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies., • Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment., • Document technical specifications, architecture designs, and system integration processes. Benefits: • Opportunity to work on cutting-edge AI initiatives., • Collaborative work environment that promotes innovation and creativity., • Proven experience in software development with a strong focus on AI technologies and methodologies., • Direct experience with Verint solutions and platforms., • Demonstrated experience with Verint AI., • Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies., • Strong programming skills in languages such as Python, Java, or C#., • Solid understanding of social engineering techniques and digital behavior analysis., • Ability to work effectively in a collaborative team environment., • Excellent problem-solving and analytical skills., • Effective communication skills, both verbal and written. Competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • Performance Bonus Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22 billion in revenues in 2024.

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As an Agent Engineer II at Amigo, you'll independently design and implement production AI agents for healthcare customers. You'll architect context graphs that model complex clinical workflows, design agent personalities that maintain clinical safety, and build evaluation frameworks that catch problems before patients encounter them. This role requires you to make design tradeoffs -- balancing conversation quality, clinical safety, and system reliability -- with minimal oversight. What you'll do * Design context graphs (hierarchical state machines) that model multi-step clinical workflows -- choosing between linear arcs and routing hubs, calibrating state density, and preventing conversation loops * Architect agent identities: background, motivations, expertise, behaviors, and communication patterns that produce clinically safe and engaging conversations * Build dynamic behavior sets that inject contextual instructions at runtime -- designing trigger conditions, choosing override modes, and testing activation patterns * Design user memory systems by defining extraction dimensions that are bounded, orthogonal, and actionable -- preventing the dimension overlap and storage explosion that collapse memory systems * Write tool integration specs that define when tools fire, what parameters they receive, and how results persist in conversation context * Diagnose production conversation failures by reading prompt logs, tracing routing decisions, and identifying root causes across the agent-graph-behavior stack * Design evaluation suites: metrics that resist gaming (Goodhart's Law), personas that represent real patient populations, and scenarios that test edge cases * Run coverage-optimized simulations using frontier and heatmap algorithms to systematically test all reachable states and transitions * Process complex customer feedback -- categorizing issues into agent design problems, context graph flow issues, platform bugs, and knowledge gaps What we're looking for * 2-4 years of production software engineering experience * Strong Python skills including Pydantic models, async patterns, and building reliable systems that interact with external APIs * Experience with LLMs, prompt engineering, or building on AI platforms * Ability to design systems by reasoning about competing constraints -- you understand that boundary constraints matter more than action guidelines, and that quality trumps speed * Experience working directly with customers or domain experts to translate requirements into technical implementations * Debugging skills across multiple system layers -- you can trace a problem from user-visible symptom to root cause across logs, prompts, and configuration * Understanding of testing methodologies -- you think about what to measure, not just whether tests pass * Clear technical communication for both engineering and clinical audiences Nice to have * Experience in regulated industries (healthcare, finance, legal) * Background with state machine design, finite automata, or conversation flow modeling * Experience with simulation frameworks or synthetic data generation * Understanding of distributed systems and observability (Datadog, structured logging) * Familiarity with compliance requirements (HIPAA, SOC 2) * Experience with voice/TTS systems and audio-specific constraints Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $160K - $190K

Job DescriptionAbout Clarion At Clarion, we’re rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows—scheduling, billing, prescription refills, and follow-ups—so healthcare teams can focus on actual patient care. We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $5.4M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems. Why This Role Is Special * Real traction, early-stage impact: Dozens of paying customers, rapidly growing revenue, and the chance to shape core systems at an inflection point. * Mission-critical problem: Healthcare communication failures affect millions daily—your work directly improves patient access and outcomes. * Elite technical context: Work closely with founders who deeply understand both healthcare operations and advanced AI systems, enabling fast decisions and real ownership. What You’ll Own * Lead the deployment, performance, and reliability of AI agents operating in live, high-stakes healthcare environments. * Architect and scale full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure. * Drive technical strategy for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture. * Mentor engineers and set standards for code quality, testing, security, and HIPAA-compliant development. * Shape product roadmap by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions. Interesting Technical Challenges * Generative AI at Scale: Design and operate production systems using LLMs with rigorous safety, alignment, and real-time monitoring at enterprise scale. * Real-time voice infrastructure: Build ultra-low-latency systems supporting thousands of concurrent calls with 99.99% uptime. * Fragmented healthcare systems: Design resilient abstraction layers across modern APIs and legacy platforms while maintaining security and compliance. * Highly Personalized Experiences: Develop adaptive AI that retains patient context across sessions, personalizes tone and flow, and delivers conversations indistinguishable from human care. What We’re Looking For * 5+ years of experience designing, building, and scaling production systems in high-reliability environments. * Strong full-stack expertise with Node.js, TypeScript, React, and PostgreSQL, plus solid system design instincts. * High ownership and agency—you thrive in ambiguity and take responsibility for outcomes. * Proven ability to mentor engineers, lead cross-functional efforts, and communicate technical trade-offs clearly. You’ll be a great fit if you enjoy owning complex systems end-to-end, solving hard problems under real-world constraints, and working closely with customers and teammates to deliver mission-critical software. Interview Process We move quickly and communicate clearly at every stage: * Intro Chat (30 min, Virtual): Background, role context, and leadership philosophy. * Technical Deep Dive (1 hr, Virtual): System design and architecture with the CTO and a senior engineer. * Onsite Team Day (Half Day, NYC): Collaborate on real problems, present a past project, meet the team, and assess mutual fit. Decisions are typically made within 24 hours of each stage. Compensation Range: $150K - $225K

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules. * Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion. * Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure. * Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships. * Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time. * Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points. * Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap. Requirements * Technical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management. * Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time. * Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders. * Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities. Interesting Technical Challenges * AI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production. * Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments. * Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer. * Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments. * Shape the product from the field: As the closest touchpoint to customers, identify patterns across deployments and translate insights into product requirements that drive the roadmap. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare. * Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience. * Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively. If you’re ready to be the customer champion that transforms healthcare communication, we’d love to hear from you. Compensation Range: $150K - $200K

Job DescriptionSlate is hiring a software engineer to help us build the next iteration of Slate.com. The ideal candidate will have experience with full stack web development as well as in content publishing and scaling. As a software engineer, you’ll be part of a small dev team of talented software engineers (think between five and 10) as well as a larger team of product managers and designers. You will be on the ground floor in choosing and implementing technologies that power Slate.com and other Slate-related products and services. This position is located in D.C. (preferred) or New York. This position is for an individual contributor and does not require managing other developers. Tech You’ll Encounter at SlateAs an engineer at Slate, you’ll encounter loads of interesting technologies, including Node.js, Vue.js, Python, Django, Redis, Postgres, React Native, and Docker. Desired Qualities of a Software EngineerFor this position to be a good fit, you MUST • Have several years of experience building websites. Apps are good, but websites are important. You should also know the difference!, • Have significant experience in JavaScript and/or Python. You’re able to explain and talk through the changes coming along in ECMAScript but don’t mind writing jQuery when you need to fix something. Alternatively (or additionally!), you can talk about pip and tell someone why they “really should be using a virtual env.”, • Have experience with scaling web content—you know when to use the CDN vs. a cache, you know where that cache should live, and you know key-value stores and load balancers, • Have strong Git skills—you know when and where to rebase and understand the value of branching, • Have experience with continuous integration (Jenkins, Travis CI, etc.), • Have significant experience with the command line, • Have an interest in Slate/the news/publishing content that lots of users see, • Have empathy (especially for users of websites and software)For this position to be a good fit, you SHOULD, • Have experience with Agile development, • Have once tried to build your own CMS and understand how complicated of an idea that is, • Have knowledge of the current web landscape. Why is React so popular? Why is it so hard for people to just switch to Python3 sometimes? What’s the difference between CommonJS and AMD, and did ECMAScript 6 make it obsolete? Why can’t all the things be handled by Babel?, • Be located in D.C. (preferred) or New York (we cannot pay relocation for this position). Although engineers often work from home, everyone is within commuting distance of either office and frequently collaborate in person.To apply for this position, you MAY:, • Include a brief statement about yourself and why you think Slate would be a good fit for you

Job Description At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight. 🏗️ The Role: Legal and Product Engineer This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code." What you’ll own: * AI Output Engineering: Partner with our AI researchers to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments. * Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements. * Product Roadmap: Serve as the internal voice of the practitioner. You’ll translate deep client insights from global firms into high-priority product features. * Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows. * Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. * Traction: 20-30% MoM revenue growth; selling to 200+ global IP teams (DLA Piper, tech boutiques, and global enterprises). * Proven Value: Users report 50-90% efficiency gains using our AI platform. * Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Your Team You’ll work directly with a founding team of AI PhDs and systems experts: * Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). * Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. * Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture of "hackers" and builders. * Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation. * Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration. * Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments. * Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space. 🛠️ What You Bring Must-Haves: * Qualified Professional: Admitted to practice before the USPTO, EPO or JPO. * 3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand. * Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences. Preferred & Nice-to-Haves: * AI Tinkerer: Hands-on experience with prompt engineering and LLM tools. * Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos. * Coder-Lite: Familiarity with Python or a background in software development. * Visionary: A deep belief that AI will fundamentally redefine the legal landscape. 🎁 What We Offer * Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. * Founding Impact: You will be the architect of how AI is applied to patent law globally. * Support: Full visa sponsorship and private medical insurance. * The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to define the future of Intellectual Property? Apply now. 🚀 Compensation Range: $100K - $220K

Job DescriptionStaff C++ Software EngineerCompany Description At Butterfly Network, we're leading a digital revolution in medical imaging, transforming an industry that has long relied on bulky, analog systems. With our proprietary Ultrasound-on-Chip™ technology, we're democratizing healthcare by shifting ultrasound from the expensive, stationary systems of the past to the connected, mobile, and software-enabled platforms of today. In 2018, we launched the world's first handheld, whole-body ultrasound, Butterfly iQ – followed by iQ+ in 2020 and iQ3 in 2024, each more powerful than the last. Our innovation doesn't stop at hardware. Butterfly combines our advanced device with intelligent software, AI, services, and education to drive adoption of affordable, accessible imaging. Our technology is proving to help clinicians, clinics, and hospitals enhance care, cut costs, and expand imaging access. We've been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions, Fast Company's World Changing Ideas, among other awards. We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together! Job Description We are seeking a Staff C++ Software Engineer to lead the design and development of a robust C++ Software Development Kit (SDK) for controlling and interfacing with an ultrasound imaging device. This SDK will serve as a common platform used by internal development teams and external partners. This is a senior individual contributor role for an engineer who is a fast learner, self-starter, and capable of working autonomously in a complex, hardware-adjacent environment. The ideal candidate thrives in ambiguous problem spaces, takes full ownership of technical outcomes, and drives solutions from concept through production and external adoption. As part of our team, your core responsibilities will include, but not limited to: • Serve as the technical owner and architect for a C++ SDK controlling an ultrasound imaging device., • Lead SDK design decisions with a focus on API clarity, usability, scalability, and long-term maintainability., • Rapidly learn complex device behavior, imaging workflows, and system constraints to make informed design decisions., • Work autonomously to define requirements, propose solutions, and execute with minimal supervision., • Collaborate cross-functionally with firmware, hardware, imaging, systems, and product teams to define control and data interfaces., • Design abstractions for device configuration, image acquisition, real-time data streaming, and system state management., • Establish best practices for SDK architecture, testing strategy, documentation standards, and release processes., • Ensure SDK robustness, performance, and reliability in hardware-integrated and real-time contexts., • Drive SDK versioning, backward compatibility, deprecation policies, and partner-facing release strategy., • Create and maintain high-quality developer documentation, examples, and reference implementations., • Mentor and provide technical guidance to other engineers contributing to the SDK or adjacent platform components., • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience., • Extensive professional experience developing production-quality software in modern C++ (C++14/17/20)., • Proven experience designing and owning SDKs, platforms, or shared libraries used by multiple teams or external users, with a primary focus on Linux-based systems., • Comfort and familiarity working with Python., • Demonstrated ability to quickly learn complex systems involving hardware, firmware, or imaging pipelines., • Strong architectural and system design skills with an emphasis on clean, intuitive APIs., • Ability to work independently, prioritize effectively, and drive work forward with minimal direction., • Deep understanding of memory management, object lifetimes, and performance optimization in C++., • Experience with multithreading, concurrency, and synchronization in performance-sensitive systems., • Strong testing discipline, including unit, integration, and hardware-in-the-loop testing strategies., • Familiarity with real-time operating systems (RTOS) or real-time constraints., • Familiarity with automatic cross-language wrapper generation (Djinni, SWIG)., • Support Development tools in Qt 6., • Support complex build systems with multiple build tools and CI pipelines., • Experience with device drivers, hardware abstraction layers, or firmware interfaces., • Knowledge of image acquisition, signal processing, or data streaming architectures., • Experience defining SDK governance, versioning strategies, and long-term technical roadmaps., • Familiarity with medical software standards (e.g., IEC 62304, ISO 13485, FDA software lifecycle guidance). Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in… Patient-Centric Innovators: Our mission is THE mission.Empowered to Impact: Every voice matters.One Team, One Goal: Unity fuels progress.Growth Champions: We embrace challenges.Action-Oriented Achievers: We follow through, every time. Location Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers. This is a hybrid position that can be based in Burlington, MA, New York City, NY or the Greater SF Bay Area. Benefits and Perks • Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. Additionally, employees have the option to buy up for enhanced health insurance coverage. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis., • Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs., • 401k plan and match - we facilitate your retirement goals., • Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP), • Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact, • Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work, • Competitive salaried compensation - we value our employees and show it, • Equity - we want every employee to be a stakeholder Our estimated salary for this role located in Burlington, MA is $150,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. Our estimated salary for this role located in New York City, NY is $160,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. Our estimated salary for this role located in the Greater SF Bay Area is $220,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand. For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship for employment visa status. Butterfly Network does not accept agency resumes. Butterfly Network is an E-Verify Company. Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines. Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedures. #LI-KG #KG-LI

Job Description Software Engineer, Product Location: New York, NY (In-Office 5x/week) Comp Range: $170,000 – $270,000 + Competitive Equity Experience: 2–8 Years (Full-Stack / Product focus) The Opportunity: Build the Future of Real-World AI We are representing a Tier-1, venture-backed AI powerhouse that is doing what most "wrapper" startups can’t: solving complex, multi-billion dollar problems for the physical world. This isn't just another SaaS tool. This is high-fidelity Voice AI that handles 100% of inbound logistics, automated outbound engines, and deep CRM integrations that orchestrate real-world labor. Backed by $37M from elite investors like Kleiner Perkins and Alt Capital, the company has grown 10x year-over-year and is currently scaling from 70 to 200+ employees. Why This Role is Different • Insane Velocity: Move 3x faster than the competition. You will take features from a whiteboard sketch to production in weeks, not months., • Foundational Impact: You aren't a cog in a machine. You are joining a lean, elite team where your code directly impacts the revenue of thousands of home service businesses across the country., • Elite Pedigree: Work directly with founders from the MIT Voice AI Lab and a team of "hacker-first" engineers., • The "Builder" Dream: We value the startup/founder mindset. If you’ve built your own projects, scaled your own apps, or thrived in high-stakes environments, you’ll fit right in. What You’ll Do • End-to-End Ownership: Design, build, and ship product-critical features—from backend Voice AI logic to high-latency frontend user experiences., • Iterate with Purpose: Use direct customer feedback to refine real-time AI-driven workflows, scheduling engines, and data systems., • Solve High-Stakes Problems: Build systems that automate scheduling and dispatching for massive multi-channel operations., • Scale Everything: Contribute to an engineering culture that values testing, reliability, and "ruthless prioritization" of impact. Who You Are • The Product Generalist: You have 4–8 years of experience (minimum 2) with a strong full-stack background and a "product-first" mindset., • AI Familiarity: You have a strong grasp of LLMs, AI-assisted systems, or building agents., • The NYC Resident: You thrive in a high-energy, in-person collaborative environment (We are in-office 5 days a week in the heart of NYC)., • The High Achiever: You likely have a degree from a top-tier institution or a portfolio of standout projects/internships that prove you can build at scale. The Perks • Top-of-Market Pay: Up to $270k base + a significant equity stake., • NYC Lifestyle: Potential for a rent stipend after 6 months., • Fuel for Builders: Free dinner provided if you’re working late (past 8pm)., • Rapid Career Growth: Join at the inflection point of a company expanding 4x in the next 12 months.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. At StubHub, we're not just selling tickets; we're elevating the entire live event experience. Whether it's a user's first concert or their hundredth festival, StubHub is there from the discovery to the encore. Fans and promoters alike turn to us for the safest, most convenient ticketing service, and our engineers make it all happen. This role is designed for new graduates who want hands-on production experience, strong mentorship, and exposure to modern engineering practices, including AI-assisted development and GenAI tools such as Claude, in a collaborative team environment. You'll work closely with Senior Engineers, and SDE IIs, contributing meaningful code while growing your technical skills. Location: Hybrid (3 days in office/2 days remote) - New York, NY About the Team: Business Operations owns the post-purchase journey for fans through three core teams: Marketplace Operations, Active Support, and Fulfillment. The Marketplace Operations team earns and protects fan trust by delivering the best ticket inventory worldwide. We're obsessively customer-focused, constantly experimenting to make buying and selling tickets seamless and reliable. Marketplace Ops owns the bottom of the funnel, everything after a transaction, where trust is built or broken. From refunds and payments to shipping extensions and replacements, we build the systems that back every order. Our engineers tackle 0 to 1 initiatives at massive scale, designing resilient, high-performance architecture and driving ideas from concept to delivery, directly impacting millions of fans worldwide. What You'll Do: Invent new ways fans experience tickets using Agentic AI • Integrate AI into engineering at scale, leveraging Claude AI, OpenAI to supercharge workflows, writing code, brainstorming designs, running Q&A agents, generating test plans, drafting PRs, and more., • Ownership & Impact: Tackle complex, high-impact problems, own projects end-to-end, and build tools that enable millions of fans and internal users to have seamless, reliable experiences., • AI-First Product Direction: Develop real-world AI-enabled features that go beyond demos, powering meaningful workflows and automation., • Recent graduate or software engineer with up to ~1 year of experience (including internships, co-ops, or substantial academic projects)., • Strong understanding of computer science fundamentals, including data structures and algorithms., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Company is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Company has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner's mindset, and stronger together—shape how we work and grow as a team. About the Voice Agent Team, Role, and Responsibilities The Voice Agent team builds the real-time systems that allow agents to carry natural conversations across our omnichannels (phone, web, mobile, etc). We work across speech understanding, audio streaming, synthesis quality, and the voice specific execution logic that enables timing, pacing, and responsive dialogue. Our systems must remain accurate, responsive, and stable at scale. Voice is one of the most technically challenging surfaces in conversational AI, and our small team owns this entire capability end-to-end. As a Senior Software Engineer focused on Voice Agent, you will design and improve the systems that power the company's live voice agents. You will work across streaming audio, transcription, synthesis, timing, and real-time orchestration. You will collaborate closely with Research to bring new models to production, with Infra to optimize performance, and with Product to unlock new conversational capabilities. • Build the real time voice runtime that powers natural customer conversations, • Improve speech understanding and synthesis quality while keeping latency low, • Design systems that manage timing, interruptions, and streaming audio reliably The Insights team builds the product surfaces that help companies understand the conversations their AI agents have with customers. We create tools that uncover customer intents, highlight gaps in agent behavior, analyze voice of customer patterns, and guide teams toward writing better AOPs and improving overall agent quality. The team owns products like Insights, Watchtower, Suggestions, and AskAI. We focus on clear explanations, intuitive visualizations, and workflows that allow users to understand and act on information quickly. This product area has a significant opportunity to shape how customers learn from their data and improve their agents. As a Senior Software Engineer on the Insights team, you will design and build the user facing tools that turn conversations into meaningful understanding. You will work across backend and frontend surfaces to deliver intuitive experiences that help CX teams, APMs, and product leaders diagnose issues, discover new intents, and understand customer sentiment. This role is ideal for engineers who love building polished product experiences supported by strong analytical logic. You will solve ambiguous product problems and work closely with design, PM, and Agent Engineering to define how insight generation should feel inside Company. • Build user-facing features that help teams understand customer intents, sentiment, and voice of customer signals, • Design intuitive visualizations and workflows that help APMs and CX teams write better AOPs and identify improvement opportunities, • Create tools that highlight gaps in agent behavior, explain performance issues, and surface actionable recommendations, • Build product experiences that make it simple to explore conversations and understand why agents behave the way they do The Agent Orchestration team builds the core execution layer that powers every agent interaction. This includes the systems responsible for coordinating model reasoning, evaluating agent behavior, and ensuring that agents behave reliably in real customer environments. We focus on correctness, reliability, and speed. Our work shapes how Company agents plan, decide, and take actions across millions of interactions. As a Senior Software Engineer on the Agent Orchestration team, you will design and build the systems that determine how agents operate under real world conditions. You will own complex distributed systems challenges and create foundations that help teams improve agent performance, reliability, and quality. You will have significant autonomy, direct impact, and the ability to shape the architecture behind one of the most advanced agent platforms in the world. • Build the execution engine that powers intelligent agents at scale, • Design systems that coordinate model reasoning and actions while staying fast and correct, • Improve reliability through better testing, observability, and safeguards, • 5+ years of experience building production systems, • Proficiency in Python or Typescript and comfort with asynchronous programming

Partner with voice and network engineers to integrate with SIP and/or SBCs, PBX and/or call recording, and voice QoS (jitter, packet loss, MOS), implementing secure signaling and/or media (TLS and/or SRTP). Engineer Voice Infrastructure Development. At least five (5) years of software engineering ex

Voice infrastructure engineering. Insight Global is seeking a Trader Voice Engineer to join a large financial firm local to the New York region. Some job responsibilities will include managing voice systems, working with telecommunication protocols such as (SIP, QSIG) and experience with CUCM (cisco

We are currently seeking Full Time Tier I/II Network Voice/Field Engineer with a minimum of 3 years of hands-on experience. As a Level I/II Network Voice / Field Engineer, you will be part of a field team dedicated to resolving customer issues in a prompt, professional and friendly manner while focu

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

If the idea of getting paid to voice your opinions, test products, and contribute to market innovation appeals to you - and you're looking for flexible, work from home opportunities — this is your chance!.

A financial firm is looking for a Python Engineer to join their team in Jersey City, NJ.

We are seeking a Virtual Customer Service Representative to join our team! You will be responsible for helping customers by providing product and service information and resolving technical issues.Responsibilities: · Handle customer inquiries and complaints · Provide information about the products

A financial firm is looking for a Data Engineer - Databricks to join their team. Pay: $100-130/hr US Citizens or GC Holders Only No c2c - W2 Only Qualifications: A Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field 7+ years of experience in

Call Center / Remote] - Anywhere in U.Competitive pay / Medical, dental & vision / 401k / PTO - As a Customer Service Rep at Planet Home Lending, you will: Respond to borrower inbound calls concerning their account, ensuring high quality service and adhering to productivity and regulatory requiremen

Seeking participants for Focus Group and market research studies.Work part-time from home and earn up to $750 per week.Register to see if you are eligible.Customer service representative agent experience not required.Remote Work From Home Customer Service Representative Agent - Part Time Market Rese