Associate Sales RepresentativeLocation: Remote within the United States (Eastern Time Zone required; New York, New Jersey, preferred) About the jobAs Associate Sales Representative at ASP you would be reporting directly to the Regional Sales Director, you'll collaborate closely with Account Managers to serve as trusted advisor to customers, partnering with Sterile Processing Departments (SPD) staff to determine solutions to their challenges.

🧠 About Legion HealthAt Legion Health, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.

OverviewThe Infrastructure Engineer is responsible for the administration, support, engineering, and continuous improvement of enterprise communication and collaboration platforms.

(Remote — North America, LATAM or Europe) Nango (YC W23) is a developer infrastructure company and the leading provider of API access for agents and apps.

Hiring: Full-Time Bilingual Insurance Executive Assistant - Remote 🚀 About the Client 🚀 • 🏢 16 years of trusted service as an independent commercial insurance agency built on long-term client relationships.

About ActAIThere are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native.

Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage.

Headquarters: Remote Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!About the Role We're looking for a Senior Research Engineer to join our Research team, developing and improving the systems behind large-scale distributed training, data processing, and inference. Our goal as an organization is to solve customer problems and improve our products quickly through model development and measurement — and how fast we move depends on how quickly anyone here can run an experiment, measure it, and find out what's wrong. Raising that ceiling is the heart of this role. You'll be working inside the pipeline you're improving, not alongside it. The ideal candidate has a deep understanding of modern deep learning systems, combined with strong engineering expertise across JAX and TPUs, layer-level optimization, large-scale distributed training, streaming, low-latency and asynchronous inference, inference compilers, and advanced parallelization techniques. This is a cross-functional role. You'll work closely with our researchers, our infrastructure team, and production engineering — not as a handoff point, but as the person who learns enough of each domain to follow problems through to resolution. At times you'll train models, run evaluations, and analyze data yourself, both to deliver impact directly and to learn what's worth building to multiply the team's work. The bar is someone who understands the end-to-end impact they intend to make, measures it from the outset, and would rather find out they were wrong in a week than in a quarter. That discipline is what turns cross-functional ownership into an advantage. The role is embedded within the Research team.  What You’ll Do Raise the team's experimental velocity — make it faster to launch an experiment job, get a number back you can trust, and know what to try next. Maintain and evolve our JAX training framework, keeping it scalable and efficient for large-scale distributed training runs on TPU. Improve the data our models learn from: investigating quality issues, building the tooling to surface them, and turning what you find into measurable accuracy gains. Analyze the accuracy of production models, build evaluation harnesses, and work out which improvements will matter most to customers. Translate research prototypes into production-ready systems, refactoring and modernizing model architectures and infrastructure along the way. Optimize production inference for speech language models, both from a serving architecture perspective and through advanced techniques such as quantization and speculative decoding. Investigate and resolve performance bottlenecks across the stack, from low-level kernels (XLA, Pallas) to high-level system design. Partner with researchers, infrastructure, and production engineering to trace problems to their real source and ship fixes that hold. What You’ll Need Expert-level proficiency with JAX and TPUs, including the surrounding ecosystem (Flax, Optax, the XLA compilation pipeline). Measurement discipline. You define what success looks like before you start, you stay skeptical of your own results until they hold up, and you treat an unexplained improvement as a problem rather than a win. Appetite for the whole pipeline. Your core strength might be JAX and TPU performance, but when a customer issue traces back to a data problem or an evaluation blind spot, you want to go find it yourself. The people who do well here went deep in one area first, then kept expanding outward. Strong experience optimizing inference systems for production, ideally with LLMs or speech models. Deep understanding of distributed training at scale, modern deep learning systems, and ML infrastructure best practices. Familiarity with modern inference optimization techniques: continuous batching, KV-cache management, sharding strategies, quantization. Enthusiasm for refactoring and improving existing systems — you thrive on making products and code faster and better. Strong Python skills; C++ or Rust experience for kernel-level work is a plus. Excellent communication and a collaborative mindset — you can clearly explain complex tradeoffs and prioritize high-impact work. Bonus Domain knowledge in Speech-to-Text: ASR architectures, audio processing, streaming inference.  Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $270,000 - $310,000AI to Interview: If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying.  Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM GatewayTry the PlaygroundOur $50M Series C fundraiseCheck us out on YouTube! To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-research-engineer

Headquarters: San Francisco, CA or Remote, US The Role We’re looking for a driven and creative Account Executive to bring Descript’s video and AI solutions to more businesses around the world. As one of our early sales hires, you’ll help shape our sales playbook, refine our strategy, and drive new revenue growth. This role offers a rare opportunity to partner closely with Product and Marketing teams, working across the company to define the future of Descript’s enterprise and creator sales motion. What You’ll Do Own the full sales cycle — from prospecting to closing and expansion Develop and execute outbound strategies to identify and engage new opportunities Run product demos and lead technical + business conversations across multiple stakeholder levels Build and manage executive-level relationships with enterprise customers Travel to industry conferences, VIP executive dinners, and face-to-face customer meetings Collaborate with internal teams to optimize the customer journey and feed insights into product and marketing initiatives What You Bring Proven success in a quota-carrying B2B SaaS or AI sales role Experience managing complex sales cycles and closing high-value deals Hands-on experience with cold outbound — you've done it, you've seen it work, and you're not afraid of it Ability to translate technical products into clear business outcomes Creative, persistent, and curious approach to building pipeline and outreach A strong growth mindset Comfortable in fast-moving, ambiguous environments — you build as you go Enthusiasm for creator-oriented tools, especially in video, audio, or AI Knowledge of media creation workflows within organizations   The base salary range for this role is $100,000- $125,000/year and the compensation structure will follow a 50/50 base/variable split. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above. #LI-RemoteAbout Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.  To apply: https://weworkremotely.com/remote-jobs/descript-account-executive

Headquarters: Remote - North America Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build,  this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!About the Role We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Finding every company building voice AI before they contact us. Researching an account and drafting the first email. Watching product usage and telling an AE when a customer is about to expand or churn. Keeping the CRM clean without anyone filling in forms. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are our AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size. What You'll Do Write code every day. Python services, SQL models, scheduled jobs, and small internal apps are most of the job. You'll use Claude Code and similar tools to ship in days what used to take a quarter. Build agents that do the work: account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. Design them, give them tools and data, evaluate their output, and keep them running. Turn product usage data in BigQuery and Looker into signals sellers act on: usage alerts, expansion triggers, and account health scores. Build the account targeting machine: sourcing, enrichment, dedupe, and ICP scoring, from raw data to a ranked list in a rep's queue. Integrate the systems the team already uses (our CRM, enrichment providers, outbound tools) so data moves between them without a human in the loop. Keep funnel data trustworthy: routing rules, field governance, and attribution. Prototype fast, measure what works, kill what doesn't, and work directly with Sales and Marketing leadership on what to build next. Document what you build so it keeps running without you. What You'll Need 4+ years as a software engineer, data engineer, or growth/GTM engineer, with time spent shipping systems that other people depend on. Strong Python and SQL. You have owned production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring. Experience building with LLMs beyond a single prompt: multi-step agents, tool use, retrieval, and evaluation. You can tell whether an agent's output is good, and you know when a plain script is the better tool. AI-assisted development is how you work. You use Claude Code or similar tools daily, and you have the engineering judgment to review, test, and stand behind what they produce. Solid fundamentals: clean code, version control, code review, debugging, and a habit of thinking in systems. You do not need an engineering team to ship. Curiosity about how a sales org works. You don't need a RevOps background, but you need to care about how deals get found and closed, and be willing to learn our CRM and the tools around it quickly. A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue. Low ego, high ownership, and comfort being the single-threaded owner of an entire domain. Nice to Have Hands-on Salesforce or other CRM work at the object and API level, or experience with enrichment and outbound tools like Clay. dbt, BigQuery, and Looker, or an equivalent warehouse and BI stack. Time at a developer-facing or API-first company, or selling to technical buyers. You've been the first engineer in a sales or growth org and built the function from scratch. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide. There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process. Salary range: $160,000 to $220,000AI to Interview: If you’re selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying.  Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM GatewayTry the PlaygroundOur $50M Series C fundraiseCheck us out on YouTube! To apply: https://weworkremotely.com/remote-jobs/assemblyai-senior-gtm-ai-engineer