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Location: Brooklyn, NY 11210 📍 Location: Brooklyn, NY 🕒 Schedule: Monday, Wednesday, and Friday, 5:00 PM to 9:00 PM; Tuesday and Thursday, 7:00 PM to 9:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required ✅ High school diploma required ✅ Experience as an ABA Paraprofessional or RBT ✅ Experience working with children ✅ Reliable, dependable, patient, and compassionate What we offer 💰 $25–$30 per hour, depending on experience 📩 Apply today to be considered.

About the Job We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. This is a leader-of-leaders role: you'll set operating standards and KPIs, develop your Supervisors into stronger people managers, and drive the efficiency, quality, and retention gains that let the function scale with the business. If you think in systems, lead through others, and measure what matters, this role is for you. This role requires on-site work at our Tualatin, Oregon office during initial training, after which the position is eligible for remote work. The ideal candidate will have experience managing a remote team distributed across multiple time zones. Responsibilities Leadership & Team Development: — Lead and develop a team of Processing Supervisors, setting clear expectations and cascading department goals to their frontline teams — Coach Supervisors through regular one-on-ones, performance reviews, and development plans that build their leadership capability — Own staffing strategy, capacity planning, and workload balancing across shifts and queues, holding Supervisors accountable for day-to-day execution — Drive engagement and retention through succession planning, career pathing, and recognition — reducing turnover in a high-volume processing environment — Set the culture for the department — collaborative, accountable, and customer-focused. — Partner with HR on employee relations and performance management escalations Operational Strategy & Efficiency: — Set and continually monitor service level targets and operating standards for the department, and hold Supervisors accountable to them — Own the efficiency roadmap for the function — redesign workflows, eliminate rework, and evaluate automation and tooling opportunities to increase throughput per employee without sacrificing accuracy Performance, Metrics & Reporting: — Define the KPI framework for the department — throughput, accuracy, turnaround time, cost per document — and the reporting cadence behind it — Analyze trends across queues, response times, and productivity to forecast volume and reallocate capacity ahead of demand Process & Compliance: — Own the department's SOP library and control environment, ensuring adherence to company policy and client compliance standards — Keep documentation and process controls audit-ready for internal and client reviews — Sponsor implementation of new tools, systems, and procedures — from business case through Supervisor and team adoption — Partner cross-functionally with Product, Support, and Client Success to fix upstream causes of processing volume and exceptions — Additional responsibilities as assigned Qualifications What You Bring: — Proven ability to lead through others — experience managing supervisors or team leads, not only individual contributors — Analytical and data-driven — comfortable building KPI frameworks, reading operational data, and making staffing and process decisions from it — A track record of measurably improving efficiency, quality, or retention in a high-volume operation — Change management skills — able to roll out new tools and processes and win adoption at both the Supervisor and frontline level — Insurance, compliance, or credentialing domain knowledge is a plus — Strong written and verbal communication, including presenting performance and recommendations to senior leadership Requirements: — Bachelor's degree or equivalent professional experience — 5+ years in document processing, operations, or a shared-services environment, including 2+ years managing people leaders NetVendor Benefits Package: — Medical, dental, and vision insurance — HSA, FSA, and DCFSA — Long- and short-term disability insurance — Company-paid standard life insurance — Generous paid time off policy — Paid holidays: 7 per year + 1 floating holiday — Maternity Leave — 401(k) with company match — Employee Assistance Program

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Staff Mobile Software Engineer for Stytch, where you'll shape the next generation of identity and fraud prevention products. About the job The position is needed to help scale Stytch’s core identity and fraud products as we bring Stytch capabilities to Twilio’s full customer base, delivering secure, developer-first identity and fraud prevention experiences. You’ll build mobile SDK products that power authentication, fraud detection and prevention as well as emerging agentic identity use cases. You’ll partner closely with product and engineering leadership to design and deliver high-impact customer-facing features, and evolve our platform for Twilio’s scale. This is a rare chance to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale. Responsibilities In this role, you’ll: Build and own the mobile SDKs for Stytch’s identity and fraud detection platforms on Twilio—go deep on device internals for complex signal collection to improve identification of bad actors and ship new SDK surfaces powering core authentication flows, including agenting and non-human identity use cases. Partner with Product and Engineering leadership to set direction, translate customer needs into product capabilities, and deliver high-impact roadmap features. Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities, and unblock cross-team initiatives. Operate with deep technical ownership: author design docs, drive key technical decisions, review code, and stay close to the systems you ship. Build in ambiguity—break down complex problems, make pragmatic tradeoffs, and design developer experiences that delight our customers. Improve production quality and resilience through strong observability, incident response and remediation. Mentor and support other engineers through pairing, feedback, and knowledge-sharing, helping raise the team’s technical bar and culture. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required 6+ years of professional mobile engineering experience, with deep experience in designing, building and maintaining mobile applications. Android development experience, fluent in Kotlin or Java. Expertise in mobile development ecosystems, frameworks, 3rd party libraries. Deep understanding of software engineering best practices, including monitoring, observability, and building maintainable systems. Experience making high-impact technical decisions and leading technical initiatives. A proven track record of driving technical excellence while keeping customer needs at the center of your work. Deep understanding of software engineering best practices, including monitoring, observability, and building for the long term. Exceptional communication and collaboration skills, with the ability to influence and align stakeholders. Bachelor’s degree in Computer Science or related industry experience. Excellent written and verbal communication skills. Schedule: ability to work non-standard, on-call rotation weekend and holiday hours. Desired iOS development experience. Familiarity with Kotlin Multiplatform, C/C++, Swift or Go. Experience building developer tools or SDKs. Builder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to life. Location This role will be remote in the US. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 - $213,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 - $226,500. Based in the San Francisco Bay area, California: $201,280 - $251,600. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: New York; Remote-Connecticut; Remote-Pennsylvania; Remote-New Jersey; Remote Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As an Enterprise Account Executive for UiPath Retail Solutions, Peak AI, you'll focus on bringing new retail customers to UiPath. Peak has joined UiPath to help build a world-class, enterprise-grade Agentic AI offering, and you'll be a specialist in selling AI-powered pricing and inventory optimization to retailers. Peak's AI platform optimizes inventory and pricing for global industry leaders including Nike, Heidelberg Materials, and PepsiCo. We believe businesses need their own AI, built for their business and trained on their data. Peak's pre-built AI products can be configured to fit each customer's needs. You'll find and develop new enterprise retail accounts, run the discovery to understand their problems, and link challenges like margin leakage, markdown pressure, promotional inefficiency, demand volatility, and excess or out-of-stock inventory to clear, measurable business outcomes. You'll own pipeline generation and ARR targets as part of a close-knit enterprise sales team. What you'll do at UiPath - Grow Retail Solutions revenue by meeting and exceeding quarterly sales targets through net new logos within our retail ICP - Build your own pipeline through insight-led outbound work (networking, cold calls, email, social selling, and events), focusing on retailers where pricing, margin, and inventory performance are strategic priorities - Own the full consultative sales cycle: discovery, problem framing, solution design, commercial structuring, negotiation, and close - Lead value-based selling that uncovers opportunities in base pricing, promotions, markdowns, inventory allocation, and replenishment - Turn retailer challenges into tailored solution frameworks that tie Peak's capabilities to outcomes such as margin expansion, better sell-through, reduced inventory carrying costs, and stronger pricing discipline - Build and present ROI narratives and business cases for retail executives, including the CFO, Chief Merchandising Officer, VP Pricing, VP Planning & Inventory, and Supply Chain leaders - Work with Solution Engineering and the Data Insights team to run pre-sales motions and co-create solutions that fit each customer's data, systems, and workflows - Partner with Marketing on retail-focused campaigns and turn the resulting leads into qualified opportunities - Structure and negotiate value-based enterprise agreements - Develop relationships with regional and global SIs and ecosystem partners throughout the sales cycle - Keep weekly, monthly, and quarterly forecasts accurate, and manage pipeline across complex, multi-stakeholder deals What you'll bring to the team - 3+ years of enterprise SaaS sales experience in complex, multi-stakeholder sales cycles with an emphasis on the Retail industry. - A consistent record of exceeding quota in new logo acquisition, particularly with mid-sized and large enterprises - Direct experience selling to retailers, plus a solid understanding of retail merchandising, pricing strategy, margin drivers, and inventory management - Experience selling pricing, revenue optimization, inventory, supply chain, or related analytics/AI solutions - The drive to create your own pipeline - Strong consultative selling skills, including discovery, problem framing, and value articulation - The ability to engage and influence senior executives and act as a trusted advisor - Training in customer-centric sales methodologies (MEDDPICC, Force Management, or similar) - Experience working with SI and partner networks during the sales cycle - Strong collaboration with Solution Engineering, Product, Marketing, Partners, and Customer Success - Willingness to travel up to 50% for prospect and customer meetings, partner engagements, and retail industry events - Authorization to work in the United States What sets you apart - An understanding of advanced analytics, machine learning, and/or AI, and the ability to connect technical capabilities to financial results (margin, revenue, inventory cost) - Experience selling into retail pricing transformation, merchandising, or commercial excellence initiatives - Comfort leading ambiguous, discovery-driven sales cycles where the solution is shaped together with the customer - Skill at turning data and insights into compelling business cases and executive narratives - An existing network across US retail merchandising, pricing, and planning leadership   #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

What you’ll do: — Manage our social media and create engaging content. — Maintain and update our website. — Write articles and case studies. — Work closely with our sales team on content and campaigns. — Find potential partners, reach out, and coordinate collaborations. We’re looking for someone with strong English writing skills who thinks outside the box, brings fresh ideas, and takes initiative without waiting for instructions.

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: We’re looking for a Technical Content Marketing, Infrastructure to tell the story of fal’s infrastructure, from Serverless for deploying and scaling custom AI models across thousands of GPUs, to Compute for training on large, interconnected GPU clusters. You’ll work closely with Marketing, Product, and Engineering to turn complex technical work into content that developers and technical decision-makers actually want to read, and that makes fal the obvious place to run generative media workloads. Some of the most interesting work happening at fal is deep inside the infrastructure, and most of the market never sees it. Your job is to uncover those stories and make them impossible to miss. WHAT YOU’LL DO - Write technical blogs, landing pages, guides, tutorials, solution pages, and product launch content for Serverless and Compute - Work directly with engineers to uncover interesting technical stories and turn them into clear, compelling content - Explain topics like inference performance, GPU infrastructure, autoscaling, distributed workloads, model serving, training, latency, and throughput - Develop technical deep dives and architecture content that demonstrates how fal works under the hood - Create benchmarks and competitive content that clearly communicates where fal performs differently - Interview customers and turn their work into technical case studies and customer stories - Support SEO and AEO by building authoritative content around the infrastructure problems developers are searching for - Translate product launches and engineering breakthroughs into narratives that resonate beyond the engineering team - Build and maintain a consistent technical voice for fal across the website, blog, and other developer-facing channels - Work with Product Marketing to identify the stories and topics that will drive awareness, adoption, and demand QUALIFICATIONS/NICE-TO-HAVES - An exceptional technical writer who can make complex systems clear without dumbing them down - Strong understanding of cloud infrastructure, AI/ML infrastructure, developer tools, or adjacent technical products - Comfortable talking with engineers about GPUs, inference, distributed systems, APIs, model serving, and performance - Able to independently research technical subjects, ask the right questions, and turn engineering knowledge into polished content - Strong instincts for both technical accuracy and storytelling - Experience writing for developers and technical decision-makers - Understanding of SEO/AEO and content distribution, not just writing in isolation - Comfortable moving quickly and publishing frequently in a fast-changing technical environment WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $150,000 - $200,000 + equity + comprehensive benefits package   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: We’re looking for a technical Product Marketer to own go-to-market for fal’s infrastructure products, from Serverless for deploying and scaling custom AI models across thousands of GPUs, to Compute for training on large, interconnected GPU clusters. This isn’t a role where you inherit a finished product and write messaging around it. You’ll sit at the intersection of product, engineering, sales, and marketing, shaping how we position our infrastructure, how we take it to market, and how GTM insights inform what we build next. Generative media is creating a new class of infrastructure workload: compute-intensive, latency-sensitive, highly variable, and operating at enormous scale. The infrastructure for it is still being built. You’ll help define the category, tell the story, and shape the products behind it. WHAT YOU’LL DO - Own positioning, messaging, and GTM strategy for Serverless, Compute, and future infrastructure products - Turn deeply technical capabilities into clear, compelling stories for developers and technical decision-makers - Develop our competitive positioning across inference platforms, GPU clouds, hyperscalers, and in-house infrastructure - Partner closely with Product and Engineering, bringing market and customer insight into roadmap and product decisions - Build demand-gen programs that drive product adoption, pipeline, and revenue - Own SEO and AEO strategy for infrastructure, capturing developers actively searching for inference, training, and compute solutions - Create technical blogs, benchmarks, product launches, solution pages, architecture explainers, demos, and sales enablement - Work with customers to develop compelling case studies and technical proof points - Find the best stories inside our engineering work and turn them into narratives the market remembers QUALIFICATIONS/NICE-TO-HAVES - Deep enough technical fluency to earn the trust of engineers and infrastructure buyers - Strong understanding of concepts like GPU infrastructure, inference, latency, throughput, autoscaling, distributed workloads, model serving, and training - Exceptional writing and storytelling. You can make complicated technology simple without making it simplistic - Experience taking technical products to market and translating product differentiation into demand - Comfortable moving between strategy and execution: from positioning a product to writing the launch page yourself - Strong commercial instincts and a focus on adoption, pipeline, revenue, and measurable GTM outcomes - High ownership and comfort operating in a fast-moving environment where the product and category are still being defined WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 - $220,000 + equity + comprehensive benefits package   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role. Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most. Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact. Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment. Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic. Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share. Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value. Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account. Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through. Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers. Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers. Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements. You may be a good fit if you have 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager. 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply. Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment. Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly. Strong programming skills with proficiency in Python or TypeScript and experience building production applications. A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps. Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery). The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems. A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity. Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong candidates may also have Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role. Experience with marketplace, embed/OEM, or co-sell motions. Prior forward-deployed engineering leadership. Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions. Experience coaching engineers from purely technical roles into customer-facing, advisory work. Executive briefing and public speaking presence. Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems Track record in applying machine learning techniques to projects in academia or industry Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow) Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Experience communicating your solutions effectively to different audiences Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma 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/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable. This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors. If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you. Key responsibilities Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors Lead stock-based compensation reporting, including the expense and award-activity roll-forwards Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them Minimum qualifications Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings) Experience using Claude or similar AI tools to build new financial reporting workflows or automation Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data Have built reusable Claude or similar AI skills, agents, or processes Experience with international statutory reporting or consolidation of special-purpose entities CPA or equivalent certification The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Forest Hills, NY 📍 Location: Forest Hills, NY (Queens) 🕒 Schedule: Monday to Friday, 4:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a male Registered Behavior Technician (RBT) for a 1:1 in-home case in Forest Hills, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Male technician required ✅ Previous RBT experience required ✅ Experience working with children with autism required ✅ Physically fit and comfortable with active, hands-on sessions ✅ Strong communication and teamwork skills What we offer 💰 Competitive pay 📩 Apply today to be considered.

Location: Flushing,NY 📍 Location: Flushing, NY 🕒 Schedule: Sunday to Friday, 3:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 in-home case in Flushing, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma required ✅ A few years of RBT experience required ✅ ABA therapy experience required ✅ Experience working with learners who show challenging behaviors ✅ Able to remain calm and consistent in difficult situations What we offer 💰 Competitive pay 📩 Apply today to be considered.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manager, Compute Accounting at Anthropic, you will execute day-to-day accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for preparing compute cost accounting, including accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires hands-on month-end close experience, strong organizational skills, and the ability to build scalable processes and controls in a high-growth environment, with a strong appetite for process improvement and automation. You'll work directly with Engineering, Procurement, and Finance & Strategy to resolve issues and ensure that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll help operate the financial controls and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also support internal and external audit requests. Key responsibilities Own the accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations Perform accounts payable and vendor statement reconciliations, working with cloud service providers to resolve discrepancies and ensure billing accuracy Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends Support internal and external audit requests on compute cost accounting and commitment disclosure matters Work with Engineering and cloud service providers to investigate issues and see them through to resolution Build monthly and quarterly financial reporting packages for leadership reviews Drive process improvement and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and contribute to cross-functional projects from scoping through delivery Minimum qualifications 7+ years of progressive operational accounting experience CPA (or equivalent) with a strong understanding of GAAP Strong, hands-on month-end close experience, with a proven ability to prepare accruals, reconciliations, and journal entries accurately and on time Significant experience accounting for cloud service or compute infrastructure expenses, including review of associated contracts Experience with cloud service provider cost structures and the unique challenges of accounting for consumption-based services Strong written and verbal communication skills, with the ability to explain issues to vendors, engineers, and other non-finance stakeholders in clear, simple terms Strong analytical abilities and comfort working with a high volume of transactions Proven experience building accounting processes, controls, and policy in high-growth environments Strong organizational skills and attention to detail, with a track record of seeing issues through to resolution Proficiency with modern ERP systems (Workday preferred) Preferred qualifications Have experience mentoring junior accounting professionals A track record of leading process transformation, automation, or finance systems projects from scoping through delivery Strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities Comfort with cross-functional partnership in fast-paced environments where priorities can shift quickly SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems Python skills for building automation and analytical tools Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models Background combining Big 4 accounting experience with industry roles at technology companies Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts Track record of implementing automated reconciliation and reporting solutions Familiarity with commitment-based purchasing agreements and their accounting implications Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation Experience supporting rapid growth and scaling initiatives The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Queens 📍 Location: Queens, NY 🕒 Schedule: Monday, Wednesday, and Friday, 2:00 PM to 6:00 PM. Saturday, 10:00 AM to 1:00 PM. 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 case in Queens. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Experience working with children is required ✅ Patient, caring, and reliable ✅ Strong communication and teamwork skills ✅ Passionate about helping learners learn, grow, and succeed What we offer 💰 Competitive pay based on experience 🕒 Weekend and after-school hours 📩 Apply today to be considered.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, M&A Finance Integration to run the finance function's role in each transaction, from LOI through Day 1 readiness and post-close execution, and to own the program management of Anthropic's growing legal entity footprint. This is a build-and-run opportunity. Reporting to the Director, M&A Finance Integration, you will be the day-to-day operator of the M&A Finance Integration program: you will scope and drive the finance integration plan for each deal, coordinate finance workstreams alongside Corporate Development, Legal, and People, and be the connective tissue between deal teams and the functions that execute. You will also own the end-to-end legal entity lifecycle (setup, migration, and wind-down) for acquired entities and newly formed subsidiaries, and turn what we learn from every deal and legal entity set up into a maintained playbook and template library. The ideal candidate has operated in a similar function at a high-growth technology company, brings enough accounting fluency to know when a closing spreadsheet or entity plan looks wrong, and thrives on building rigorous, repeatable processes while deals are live. Key responsibilities Deal Integration Planning & Execution Scope and own the finance integration plan for each transaction across every phase, from LOI and due diligence through signing, sign-to-close, and Day 90, spanning finance functions Tailor the plan to the integration model (full integration vs. standalone subsidiary) and define each function's baseline activities and standalone-specific deltas Ensure every function is engaged at the right phase, with clear owners, dependencies, and escalation paths Run the integration operating rhythm: workstream check-ins, issue logs, risk registers, RACI matrices, decision logs, and status reporting to finance leadership Negotiate deliverables and trade-offs directly with functional leads; escalate to the Director with a recommendation when priorities conflict Day 1 Readiness & Post-Close Execution Drive Finance Day 1 readiness: bank account control and signers, payroll cutover, AP/AR continuity, ERP entity, cost-center and project-code setup, chart-of-accounts mapping, and expense policy communication Run the Day 1 checklist and 30/60/90-day follow-through, ensuring acquired entities are onboarded without disruption to the close cycle Coordinate the closing spreadsheet, net working capital mechanics, and post-close true-up with Corporate Development, Legal and Technical Accounting Serve as a primary finance point of contact for the target's finance team and Corporate Development's integration lead during transition Scope, track, and manage external advisor engagements and unblock issues as they arise Stakeholder Management & Communication Act as a credible counterpart to Corporate Development, finance functional leads, and target finance leadership on integration substance Communicate integration and entity status to leadership through clear dashboards and written briefings Mentor team members and contractors as the function grows Handle confidential deal information with discipline Legal Entity Lifecycle Program Management Build and run the end-to-end entity setup process: decision documentation, incorporation, tax registrations, banking, ERP entity creation, functional-currency assessment, payroll or employer-of-record bridge, and statutory / compliance calendar onboarding, with a named owner for each step across US and international entities Own the entity wind-down process, including customer and vendor off-boarding, final payroll and employee transfers, account closure, intercompany settlement, and final statutory filings, in partnership with Legal, Tax, and the involved finance functions Design and maintain a single entity tracker with per-entity, per-workstream implications and status, aligned with adjacent entity programs (e.g., infrastructure and special-purpose entities) so they share one backbone Playbook, Templates & Infrastructure Build and own the Legal Entity Playbook: a repeatable, end-to-end framework covering entity formation, migration, and wind-down for acquired entities and newly formed subsidiaries in the US and internationally Own and maintain sections of the modular M&A Finance Integration Playbook: per-function deliverables by phase, standard operating procedures, and the template library Lead post-deal retrospectives and drive the resulting changes into the playbook and templates Identify and implement tooling and automation, including AI-assisted solutions, for recurring program work such as status synthesis, tracker updates, escalations and draft communications Minimum qualifications Demonstrated end-to-end ownership of at least two finance integration projects or entity set up projects, from planning through post-close execution, including project plan ownership and executive reporting Working accounting fluency across the areas your stakeholders own: the close calendar, chart of accounts, intercompany, statutory reporting, purchase accounting fundamentals, and the finance implications of common deal structures (asset vs. stock, acquihire vs. strategic, full integration vs. standalone) Strong program-management capability: comfortable scoping ambiguous work, owning multiple parallel workstreams, and managing to milestones without extensive oversight Experience with ERP systems (NetSuite, Oracle, SAP, or equivalent) in an acquisition and migration context Cross-functional credibility with Legal, Tax, People, Corporate Development, and Finance sub-functions, and the ability to drive outcomes across competing timelines and risk tolerances Comfort operating under deal-environment time pressure and confidentiality, with sound judgment when processes are being defined in real time Excellent written and verbal communication, with the ability to distill complex operational issues into clear, decision-ready briefings Preferred qualifications 10+ years in finance, accounting, or finance operations, with at least 3 years running cross-functional programs at a high-growth technology company, with a focus in M&A integration or legal entity programs Have built or significantly contributed to a finance integration playbook, template library, or integration management office infrastructure from scratch Bring international entity experience: new-jurisdiction setup, statutory audit and local GAAP obligations, employer-of-record bridges, transfer pricing and intercompany agreements Have worked with standalone-subsidiary integration models, consolidation bridges, and equity-method investments Be an active user of AI tools in their own workflow and excited to push program management toward automation Hold a CPA, ACA, ACCA, or CA qualification Be genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: United States Workplace: hybrid About Lyra   Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be contracted by Lyra Clinical Associates. About the Role   Lyra is committed to addressing urgent and costly mental health needs with specialized support where it’s needed most. Our Center of Excellence for Neurodiversity offers neuropsychological and/or psychological assessments and diagnosis, with tailored care for ADHD, and support for autism and learning differences. We are looking for a contractNeuropsychologist who is passionate about whole-person, whole-family mental health care.  This contract role is a great fit for providers who enjoy working in a collaborative team environment, including the patient’s psychologist, therapist, and/or psychiatrist. Traits for success include: Results driven, detailed, process oriented, and comfortable with data. Candidates with an independent work ethic who are flexible and adaptable, we encourage you to apply. What You’ll Do: Conduct intake interviews to gather complete history Provide comprehensive neuropsychological and/or psychological evaluations for clients of all ages, in collaboration with their families and/or other collateral sources Interpret a wide variety of psychological and neuropsychological test batteries, with occasional direct test administration Serve as a subject matter expert in the use and interpretation of neuropsychological assessments Supervise and oversee the work of the patient’s assigned psychometrist to ensure accurate and reliable data collection Complete detailed neuropsychological evaluation reports and brief summary documents tailored for clients, families, and referring providers Conduct clear, supportive feedback sessions to explain findings, diagnoses, and personalized recommendations Collaborate with the patient’s care team (psychiatrist, care manager, therapist, and/or mental health wellness coach) to inform and coordinate treatment planning Comfortable completing virtual and/or in-person sessions with patients and their families Requirements: Doctorate degree in Psychology from an American Psychological Association or Canadian Psychological Association accredited program One year predoctoral internship with specialization in neuropsychology preferred Two year postdoctoral fellowship with specialization in neuropsychology preferred An equivalent combination of experience, supervision, or training will be considered on a case-by-case basis Licensed Clinical Psychologist in at least one state PSYPACT authorized or PSYPACT eligible preferred Experience conducting testing virtually and in person Familiarity with online web-based applications Effective therapeutic communication skills Able to deliver care virtually or in person and within your own office space Candidates must successfully pass a background check for this opportunity Here are some of the advantages of joining the Lyra + Bend network: Connect with highly compatible clients who are a good fit for your clinical expertise Set your own schedule, without a minimum hours requirement Focus less on the administrative burden of billing with Lyra’s paperless billing and quick payment turnaround Have peace of mind with Lyra’s 24/7 Care Navigation team for client crisis support Access to a robust offering of live and recorded CE credited courses (approved by APA, ASWB, and NBCC) Access to cutting edge technology and a team of support staff (e.g., psychometrists, psychometrist assistants) to help ease the administrative burden of the evaluation process We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this contract position, your data will be processed as per Workforce Privacy Notice. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. For more information about how we use and retain your information, please see our Workforce Privacy Notice.