Вакансии

Location: San Francisco The Finance team at Asana tracks and seeks to understand the factors driving our growth and success. We help our entire organization achieve our operational and financial goals while embodying our company values. We ensure our objectives are feasible and work closely with all teams to ensure they have the resources they need to achieve our ambitious mission enabling all teams to work together effortlessly. We are looking for a Corporate and Strategic Finance Manager to join our FP&A team. In this role, you will strategically assess our growth drivers and partner closely with our Go-To-Market (GTM) teams to drive business impact. As a finance professional, you will solve complex problems independently, perform deep financial analysis, and partner directly with senior leadership. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Solve problems analytically by gathering and summarizing large data sets to drive efficient executive decision-making and lead end-to-end recommendation processes. Nurture deep, trusted partnerships across Sales, Marketing, Product, Accounting, IT, and Business Operations teams. Support strategic short- and long-term business decisions through ROI-focused financial modeling and analysis across diverse business segments. Build, maintain, and own bottom-up Go-To-Market planning and forecast models connecting GTM investments, operating expenses, headcount planning, and revenue forecasts. Propose and implement strategic solutions to drive key financial metrics in partnership with the GTM organization. Guide process improvement, standardization, and reporting enhancements while installing appropriate controls. About you 7+ years of applicable experience in FP&A, corporate finance, or strategic finance. Bachelor’s degree in finance, accounting, economics, or a related quantitative field. Strong understanding of corporate finance concepts and accounting principles. Advanced proficiency in MS Excel and Google Sheets. Prior experience with financial and data analytics tools such as Anaplan and Databricks. Proven ability to cultivate effective cross-functional relationships with strong planning, communication, and organizational skills. Sound business judgment with a track record of translating complex financial analyses into clear, actionable recommendations for senior leadership. Proactive ownership and a first-principles approach to solving ambiguous problems in a dynamic environment. The ideal candidate will be curious, detail-oriented, and collaborative, with excellent analytical and communication skills. Prior experience within Product-Led Growth (PLG) or Sales-Led Growth (SLG) technology companies is a plus. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $164,000 - $186,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LIhybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Beograd, Serbia Workplace: hybrid About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption. Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value. Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale. What You’ll Be Doing Data Engineering and Platform Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL. Deploy, operationalize, and monitor machine learning models (MLOps) in production environments. Build and maintain data marts as the primary source of truth for key business domains. Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability. Implement data quality checks, monitoring, and alerting. Optimise pipeline performance and cost-efficiency. Lead and actively contribute to engineering standards and process improvements across the data team. Ownership and Stakeholder Management Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points. Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration. Gather and translate business requirements into technical solutions. Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs. Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes. Enablement and Self-Service Build and maintain datasets that power reporting and dashboards in Preset. Onboard and support users on Preset to promote data self-sufficiency. Promote data practices, including data definitions, documentation, and governance. What You’ll Need to Be Successful 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption. Proficiency in Python, SQL, and PySpark/Spark. Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows). Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions. Data modelling skills and experience designing data marts for analytics and reporting. Experience building production pipelines with orchestration, testing, monitoring, and version control. Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles. Demonstrated accountability for project outcomes and commercial impact. Clear, structured communication in English. Nice to Have Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms. Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data. Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR). Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD. Experience mentoring engineers or analysts. Interest in applying AI tools to improve data engineering productivity and quality. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fuelling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Tether and its affiliated entities (e.g. Bitfinex) are searching for an organized self-starter to join our Regulatory and Licensing team, to lead efforts in the European Union. The successful candidate is someone with an understanding of the regulatory environment pertaining to the crypto-asset industry / stablecoin industry in the Union, as well as broader legislation pertaining to topics such as communication technology and artificial intelligence, and who is excited by the opportunity to apply their existing regulatory affairs and / or legal experience in an exciting and dynamic business environment. To succeed in this role, the incumbent will continuously strive to self-develop and enhance their skill sets including understanding the Company’s products and services, blockchain technology, and regulatory requirements. You will have a focus around working with regulators to translate policy objectives of the companies into favourable regulatory requirements in the region, as part of enabling the broader business strategy across Tether’s business verticals. The successful candidate should be comfortable managing relationships and communications between various stakeholders both internal and external to the business, including regulators and policy setters, as well as working with cross-functional teams such as Operations, Finance, Technology, Business Development. You will report to the Vice President of the Regulatory and Licensing division, and work alongside project managers and members of the wider business to execute on regulatory affairs initiatives. Responsibilities Regulatory Affairs Maintain proactive relationships with policymakers, regulators, central banks, and financial intelligence units relevant to the Company’s product and service lines. Monitor regulatory developments impacting Tether and affiliates companies in the country. Represent the company in consultations, workshops, industry roundtables, and regulatory dialogues. Prepare briefing papers, comment letters, and policy submissions aligned with broader global regulatory strategy. Identify and successfully realise opportunities to shape emerging frameworks in a risk-sensitive, innovation-oriented manner. Strategy & Cross-Functional Collaboration Provide actionable risk and regulatory insights to internal stakeholders (legal, product, compliance, risk, commercial). Support enterprise-level planning for new products or expansions into the aforementioned countries, advising on regulatory constraints and enablers. Contribute to internal reporting and executive briefings on policy risks and regulatory trajectory regionally Minimum of 8 years governmental affairs / regulatory affairs / legal experience ideally within the financial services or crypto-asset industry in the EU, preferably Brussels based. Fintech or Digital assets exposure is important Experience engaging with regulators or government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation. Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences. Proven ability to manage multiple stakeholders across borders and time zones. Communication: Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions. Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently. English speaking. Location: preferred location Brussels ( but open to other EU locations as well) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

In this Role, you'll get to: Be hands on - its one of the job’s fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers. It's important to have a love of engineering and a passion for building things elegantly and at scale.

— развивать SEO англоязычного SaaS-проекта; — находить низкочастотные запросы с высоким buying intent: «alternative», «vs», «tool for…», «how to find leads on…»;

Location: Singapore 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 We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI. Key responsibilities Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation Translate Claude’s technical capabilities into clear business value for manufacturing use cases Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory Identify new use cases and feed customer and market insights back into the product roadmap Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI Minimum qualifications 10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value Track record of closing complex, multi-stakeholder enterprise deals Existing commercial network among Taiwan-based enterprises Fluency in Mandarin and English, with strong written and verbal communication and presentation skills Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan Bachelor’s degree in a related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors Experience co-selling with hyperscaler, channel, or SI partners Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements Interest in or experience with advanced AI systems and their safe development Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models 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: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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's Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values. As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work. Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis. Key responsibilities Serve as incident commander for Safeguards incidents from declaration through closure Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications Run post-incident reviews, assign action items to named owners, and track them through closure Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident Take part in after-hours and weekend incident coverage on a rotating basis Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics Draft and maintain runbooks and standard operating procedures Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result Maintain the incident record and the metrics that show leadership how the program is performing Minimum qualifications Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking Ability to participate in after-hours and weekend incident coverage on a rotating basis Preferred qualifications Experience joining an incident response function early and helping write runbooks and review processes Experience with incidents involving AI systems Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications Experience working with threat intelligence or security investigation teams during an incident Experience with regulatory or external incident reporting and disclosure Experience running an on-call rotation or support escalation queue, including setting and measuring response targets Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality Working knowledge of SQL or similar tools for analyzing incident and queue data Experience designing and facilitating tabletop exercises Genuine interest in AI safety and responsible technology development 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: $245,000 — $285,000 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, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE We're looking for an experienced engineering leader to own one of the most critical areas within Platform: the runtime and stateful systems Sentry runs on. You'll lead multiple engineering teams and Staff engineers responsible for OLTP and OLAP databases, real-time compute and stream processing, blob storage, and distributed caching. These systems power Sentry's products, including Seer, and are mission-critical to the business. When they perform well, every product team moves faster. When they don't, the whole company feels the impact. You'll set the technical vision across these systems, lead significant architectural changes, and develop the engineering leaders and teams responsible for building and operating them. This role requires someone who brings deep technical judgment, thinks strategically, and has a track record of driving complex engineering initiatives from concept through execution. You'll have the opportunity to shape both the technical direction and organizational growth of a critical part of Sentry's platform as our products and infrastructure continue to evolve. This is a hybrid role based in the San Francisco Bay Area, with an expectation of working from our San Francisco office three days per week. IN THIS ROLE YOU WILL - Lead multiple engineering teams and Staff engineers responsible for the runtime and stateful systems supporting Sentry, Seer, and the products built on top of them. - Set the technical vision and strategy across multiple systems, identifying opportunities to evolve our architecture as the business scales. - Drive significant architectural changes and technical initiatives, making informed tradeoffs around scalability, reliability, performance, cost, and complexity. - Provide technical leadership across teams, working closely with senior engineers to evaluate architectural decisions, challenge assumptions, and establish technical direction. - Own the execution and operational excellence of mission-critical systems, ensuring teams deliver reliable, scalable, and high-performing platform components. - Build and develop a strong engineering organization, including hiring, mentoring, and growing engineering managers and senior technical leaders. - Foster a culture of engineering excellence, technical accountability, and continuous improvement. - Partner across Platform, Infrastructure, and Product to align priorities, navigate ambiguity, and deliver complex, cross-functional initiatives. - Anticipate evolving product and infrastructure needs, identifying opportunities to build new platform capabilities and improve existing systems. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving complex distributed systems problems and have strong opinions about architecture, backed by experience and sound technical judgment. - Thrive in roles where you're equally responsible for technical direction, execution, and developing engineering leaders. - Like taking ownership of ambiguous technical challenges, establishing a clear strategy, and bringing teams together to execute. - Are passionate about building large-scale systems where reliability, performance, and efficiency directly impact the business. - Enjoy partnering with senior engineers, challenging technical assumptions, and helping teams make thoughtful architectural decisions. - Take pride in building high-performing teams, developing future leaders, and raising the engineering bar. - Want to shape the runtime foundation supporting Sentry's products and AI capabilities for years to come. QUALIFICATIONS - 12+ years of experience in backend, platform, or infrastructure engineering, with significant experience designing and operating large-scale distributed systems. - Director-level engineering management experience, or equivalent senior engineering leadership experience overseeing multiple teams at comparable scale and complexity. - Deep technical expertise in at least one of the following domains: - OLTP databases - OLAP databases - Real-time compute and stream processing - Blob/object storage - Distributed caching - Demonstrated experience driving significant architectural changes, including evaluating technical tradeoffs, establishing direction, and leading implementation. - Strong technical judgment and the ability to engage deeply in architectural discussions across multiple distributed systems domains. - Proven track record of leading complex, cross-functional engineering initiatives from strategy through execution, with measurable technical or business impact. - Experience hiring, developing, and leading engineering managers and senior technical talent. - Strong communication and organizational leadership skills, with the ability to articulate technical concepts, influence senior stakeholders, and align teams around a shared strategy. - Experience operating mission-critical infrastructure with a strong understanding of reliability, scalability, performance, and operational efficiency. The base salary range that Sentry reasonably expects to pay for this position is $300,000 to $450,000 USD, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.

Location: San Francisco, CA | New York City, NY | 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 looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news. You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations. You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land. Key responsibilities Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once Minimum qualifications Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land A demonstrated ability to operate with high agency and low ego, with a bias to action Preferred qualifications 8-10 years of experience in communications, PR, or product marketing Communications experience at a developer platform, API-first, or enterprise software company Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem Experience managing communications for AI or ML products Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early 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: $265,000 — $295,000 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: Vancouver, BC We’re looking for a Senior Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to move our customers toward expansive, end-to-end intelligent orchestration. We are expanding several of our key AI engineering teams: depending on where you land, you might lead architecture across our core agentic runtime, develop high-throughput evaluation and safety infrastructure, or build the sophisticated customer-facing builders and canvas surfaces that allow enterprises to coordinate humans and AI agents seamlessly. Because this is an organization-wide search across our AI teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive the technical design, architecture, and end-to-end delivery of medium-to-large projects across our AI roadmap, guiding and collaborating with multiple engineers. Design robust, extensible, and performant systems that support agentic execution, prompt-driven automation, model orchestration, and strict enterprise-grade data boundaries. Solve complex technical problems by weighing technical debt, developer velocity, execution risk, and direct business goals. Anticipate customer and architectural risks early, breaking down complex, ambiguous product visions into clear engineering milestones and actionable tasks. Champion technical excellence, write high-leverage design docs, run meaningful retrospectives, establish testing norms, and mentor engineers across levels to raise the engineering bar. Partner closely with Product Managers, Engineering Managers, Product Designers, and Data Scientists to define requirements, clarify trade-offs, and align technical direction with Asana's broader product strategy. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 6+ years of professional software engineering experience designing, building, and maintaining production distributed systems, microservices, or complex full-stack architectures. Demonstrated track record of technical leadership across multiple services or codebases, with practical experience or deep interest in LLMs, agentic patterns, evaluation pipelines, retrieval-augmented generation (RAG), or real-time streaming infrastructure. Proven ability to author comprehensive technical design docs, evaluate trade-offs (e.g., latency, cost, determinism, maintainability), and make durable architectural decisions. Track record of acting as a Tech Lead or Area of Responsibility (AoR) owner—successfully driving multi-contributor projects from ambiguity to delivery while navigating cross-team dependencies. Passion for mentoring and coaching fellow engineers, providing actionable code and design feedback, and establishing long-term engineering best practices. Deep empathy for the end-user experience, understanding how backend architecture and model behaviours directly affect user trust, interface latency, and workflow reliability. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 -$200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Vancouver, BC We’re looking for a Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to turn manual work into scalable, intelligent systems. We are hiring software engineers across several of our core AI teams, ranging from the platform foundations and runtime infrastructure powering autonomous agents, to the trust, evaluation, and observability systems that ensure safety and governance, to the high-impact product surfaces enabling users to build and run AI-orchestrated workflows. Because we are hiring for multiple teams, you will interview through a centralized interview process, and we will undergo a team matching process at the end. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the end-to-end implementation of small-to-medium features and services that power intelligent collaboration and agentic automation across Asana. Write clean, modular, and well-tested code across our stack while evaluating trade-offs between latency, cost, and reliability when integrating modern foundation models, prompt pipelines, and workflow orchestration logic. Proactively maintain and improve Areas of Responsibility (AoRs), monitor production pipelines, participate in team on-call rotations, and diagnose complex bugs across asynchronous or distributed systems. Break down feature specifications into clear engineering milestones, provide accurate technical estimates, and reliably execute to advance the adoption of the AI Suite. Elevate code quality, advocate for test coverage and technical debt remediation, and conduct thoughtful and rigorous code reviews for your peers. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 2+ years of professional software engineering experience shipping production code in modern distributed architectures, web services, or data-intensive systems. Strong command of software design fundamentals, testing practices, and data structures, paired with experience or curiosity in working with LLMs, prompt pipelines, vector databases, or agentic frameworks. Demonstrated ability to take a technical specification, evaluate trade-offs, seek feedback on risky or complex changes early, and ship to production with minimal oversight. High bar for code health, writing well-structured, maintainable, and self-documenting code with comprehensive test plans and logical PR breakdowns. Experience collaborating closely with Product Managers, Designers, Data Scientists, and fellow engineers while communicating progress clearly and surfacing blockers early. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $146,000-$162,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Ireland; London, England, United Kingdom About the Job: We're looking for a Revenue Operations Manager, EMEA to be the go-to operator for our EMEA GTM team. This is a high-impact, highly visible role for someone who wants to shape how a growing region runs, from the first marketing touch to the closed deal and beyond. You'll join our GTM Operations team as the face of operations in EMEA, partnering day-to day with Marketing, SDR, Sales, Solution Engineering, and Customer Success leaders across the lifecycle. You'll turn strategy into the processes, cadences, and insights that move the number. And you won't build alone: a global RevOps team stands behind you with builders and enablement teams to give you the foundation to develop what you design, and enablement to help teach your stakeholders how to be successful. As we build in-region Field Operations coverage, you'll set the playbook for how LaunchDarkly runs in EMEA, and you'll see your impact within your first 90 days, not your first year. If you're a business partner at heart who loves turning ambiguity into rhythm and results, this role is for you. Why This Role Matters: High Impact: You'll own the rituals that make EMEA pipeline and forecasting trustworthy, with a direct line to revenue in one of our key regions. Support EMEA in bringing forecast accuracy within +/- 5% accurate. Strategic Influence: Be the voice of EMEA inside GTM Operations and a trusted partner to regional GTM leadership Break New Ground: Help build in-region operations coverage and set the operating playbook for the region Career Growth: Gain exposure across the full GTM lifecycle, from Marketing and Sales to Customer Success, at a high-growth B2B company Regional Playbooks: Adapt global plays for land, expand, and renewals. Track how playbooks drive conversion and optimize over time. Responsibilities: Business Partnership : Serve as the named operations partner for EMEA's Marketing, Sales & Customer Success leaders. Join their operating meetings, know their number, pipeline, and top risks, and bring insight before you're asked. First Line of Defense : Own intake for EMEA field requests. Answer, route to the right operations team, or escalate, so the field never needs to navigate our org chart. Operating Cadence : Run the EMEA forecast, pipeline, and business review cadence. Inspect pipe hygiene with leaders so each forecast is based on clean data, and each meeting ends in strong data-driven decisions, not updates. Strategy -> Process: Apply our global processes, handoffs, and rules of engagement in EMEA. Own the regional variants and keep them documented. Actionable Insights : Use standard data to find what drives the pipeline, understand what becomes a win, help leaders understand their teams. Recommend the change and see it through. Planning Inputs : Bring what the field knows (territory health, ramp, pipe coverage, and in-market demand generation) to Planning and FP&A so EMEA plans reflect realistic expectations. Adoption & Accountability : Partner with Enablement on new motions and launches, then inspect adoption through the cadence and close the gaps. Voice of the Field : Bring EMEA priorities into operational planning and partner with Systems teams to define clear business requirements. About You: You are a business partner first who thrives at the intersection of strategy, data, and operations. You're fluent in the language of pipeline and forecasting, but just as comfortable sitting with a rep as with a VP. You take ownership of outcomes, not just tasks, and you hold yourself to a high bar. You move fast with an 80/20 mindset, and you can look at a process you built and say "this isn't working" without defensiveness. You know how to influence without authority, and you build relationships before you push for change. You stay curious, embrace feedback, and keep looking for ways to level up yourself and those around you. You’re energized by working across multiple EMEA markets, and you keep a global team aligned from a different time zone. Qualifications: Typically requires 8 years of experience, or equivalent depth of expertise, in Revenue Operations, Sales Operations, Marketing Operations, or a related GTM operations role Experience supporting EMEA GTM teams, ideally in a regional-focused capacity Proven experience running forecast, pipeline, and business review cadences with senior GTM leaders Strong working knowledge of the full GTM lifecycle, including lead management, pipeline generation, sales stages, and customer handoffs Hands-on Salesforce experience, with the ability to write clear business requirements for systems product owners and developers Strong analytical skills, with the ability to turn data into clear, actionable recommendations Experience at a B2B SaaS or high-growth tech company Excellent communication and stakeholder management skills, with the ability to influence without authority Experience with GTM tools like Salesforce, Gong, Looker, Outreach, Cognism About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: United States Workplace: Remote Coder's Revenue Enablement team is building out onboarding and ramp for every customer-facing function — SDR, AE, SE, CSM, and FDE. We're looking for a Sales Onboarding Program Manager who can own that curriculum end to end: designing, running, and continuously improving how new hires ramp from day one to full productivity. This isn't a single-audience onboarding role. You'll build ramp programs that flex across distinct functions with different skill requirements — commercial, technical, and delivery — while keeping a consistent bar for what "ready" looks like across all of them. You'll work closely with our technical enablement and sales performance functions to make sure ramp content stays current with product, methodology, and process as the company scales. WHAT YOU'LL DO - Design and own the onboarding curriculum and certification framework for new hires across AE, SE, CSM, and FDE roles - Build structured ramp timelines (30/60/90-day plans) with clear milestones, checkpoints, and certification gates for each function - Partner with technical enablement, sales performance, and functional leaders to keep ramp content aligned with current product, methodology (e.g., MEDDPIC, deal qualification frameworks), and sales/delivery process - Track and report on ramp metrics — time-to-productivity, certification completion, early performance indicators — and use that data to iterate on the program - Coordinate logistics and scheduling for cohort-based onboarding (live sessions, shadowing, certification exercises) - Build and maintain a scalable content/documentation system so onboarding materials stay current as the team grows and product evolves - Gather feedback from new hires and their managers to continuously refine the program - Serve as the primary point of contact for new hires during their ramp period WHAT WE’RE LOOKING FOR - 4+ years in program management, enablement, or L&D, ideally in a B2B SaaS or technical sales environment - Demonstrated ability to build structured, repeatable programs from scratch — not just run existing ones - Strong project management instincts: you default to milestones, checklists, and metrics rather than ad hoc coordination - Comfort designing curriculum for both commercial and technical audiences, or a fast learner's willingness to get conversant in technical sales motions - Excellent written communication — you'll be creating a lot of the source material new hires learn from - Experience partnering cross-functionally with sales, product, and marketing ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Solution Architect/Technical Implementation Manager is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. As a Solution Architect, you are the hands-on advisor, technical expert, and problem solver. You will be leading various technical integrations and implementations, solving the most challenging problems in the content localization space, and designing sustainable solutions to support our customers’ growing localization needs. The Solution Architect is an Engineering-adjacent role. Accordingly, a strong technical background is required for this role.  We are looking for a professional who has a track record of successfully designing and implementing enterprise-grade technical solutions, who communicates complex concepts and ideas effectively, and who demonstrates creativity in solving challenging problems for customers. We are considering candidates based in the East and Central time zones only at this time. You Will Interact with both technical and business users to gather requirements, analyze information, and design comprehensive and scalable solutions Effectively and proactively manage process changes with business and technical stakeholders to drive implementations forward Act with precision and urgency to provide customers with best-in-class support, and lead workshops and troubleshooting sessions with customer technical teams to resolve complex issues Continuously articulate best practices to encourage optimal integration and platform adoption, laying the foundation for the long-term success of customers Stay curious about new technologies, develop new tools, and contribute to process improvement You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 3+ years of relevant experience as a Solution Architect, Technical Consultant, or in a similar customer-facing role that focuses on technical solution design and implementation Strong analytical skills when it comes to complex problems, and are not intimidated by technical challenges 2+ years of applied experience with modern web technologies (e.g. HTTP, HTML, CSS and JavaScript), and REST APIs Excellent communication skills with the capability to advise/persuade technical and non-technical stakeholders Ability to drive outcomes despite complexity, ambiguity or changing scope Familiarity with at least one programming/scripting language and able to read/write scripts A home office setup conducive for working remotely, and ability to work effectively as a remote team member* Preferred but not required Knowledge of Content Delivery Networks (CDN), web servers, and proxy technologies such as Nginx Familiarity with Content Management Systems (CMS) Software development experience Experience with file engineering and regular expressions Hands-on experience with Splunk, Kibana or similar technologies Experience with translation, localization, and internationalization processes and/or fluency in multiple languages You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $100,000-$120,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction- and clutter-free) background.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. This role is central to developing next-generation processing to enable foundational health features at WHOOP. You’ll develop the signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members. Responsibilities - Lead the design and development of real-time voice signal processing - Own the full development lifecycle, from prototyping and validation through productization and continuous improvement - Evaluate commercial solutions, develop prototypes and demos, and inform build/buy decisions - Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members - Mentor junior engineers and contribute to a high-performance, research-to-production culture Qualifications - B.S. in Electrical Engineering or related field, M.S. or PhD preferred - 5+ years of experience developing and deploying real-time voice signal processing chains - Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, analysis/synthesis filterbanks, adaptive filtering) - Demonstrated experience integrating real-time voice processing blocks (e.g echo cancellation, noise reduction) into end-to-end signal processing pipelines - Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets - Proficiency in Python or MATLAB for algorithm/system prototyping and with C/C++ for deployment to product platforms - Excellent communication skills, including the ability to present technical results to a diverse audience - Demonstrated creativity, adaptability, and a strong interest in translating prototypes into products Additional Desired Experience - Experience deploying signal processing algorithms to battery-powered consumer product platforms - Experience integrating and optimizing third-party libraries, frameworks, or algorithm IP - Familiarity with embedded firmware, Bluetooth, audio codecs (e.g. Opus, LC3) and RTOS environments - Experience with fixed-point implementation, quantization, or other numerical optimization techniques for computed-constrained embedded signal processing