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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. As more and more companies develop their practice of Artificial Intelligence there is a growing need to reinforce their developments and deliverables with governance and controls. Some of the motivations and objectives for this turn to AI governance include improving the efficiency of their AI initiatives, managing risks, securing compliance, aligning to responsible AI or ethical frameworks, having a systematic approach to value monitoring, and more. Dataiku’s AI Governance offer extends across our platform but centers on Govern. Released in 2021, Govern enables organizations to build, formalize, and systematize governance practices aligned to their objectives. Mission Description As a Senior AI Governance Solutions Consultant with Financial Services & Insurance (FSI) expertise (APAC), reporting to the Senior Director for AI Governance Solutions (UK), you will work with organizations across Asia-Pacific to communicate, demonstrate, and deliver Dataiku’s AI and analytics governance offering. You will also leverage your expertise in FSI to communicate the value of Dataiku across industries within this sector, whether investment, commercial, consumer or insurance.  In practice, this means speaking and presenting to diverse audiences, working closely with organizations and their dedicated teams to build or co-develop bespoke governance solutions or help clients envision how Dataiku can be leveraged across diverse FSI use cases. How you’ll make an impact :  Represent Dataiku's AI and analytics Governance and FSI Solutions teams in APAC region: Working closely with colleagues based across the world, you will be the primary representative of the Governance Solutions team in Singapore, Thailand, Malaysia, Indonesia, and Australia. In addition to your focus on AI and Analytics Governance, you will work closely with the Director for FSI Solutions in order to facilitate demonstrations of how Dataiku works well within this industry. Support pre-sales activities on Dataiku’s AI and analytics governance offering: Interest in AI Governance across the region is increasing. With this interest are opportunities to demonstrate to our customers Dataiku's approach and offering on AI and analytics Governance. Practically, you will work alongside account teams with both prospects and existing customers, working tightly with the Sales Engineering community on opportunity management involving AI Governance. Activities will include product demonstration, value proposition presentation, implementation and integration principles, mapping of post-sales planning or simply acting as a key contact point to answer specific questions about the topic or offer. Support pre-sales activities on Dataiku's FSI offering: Dataiku continues to see success with FSI organizations across the world. With organizations scaling the use of analytics and data science across teams, new opportunities arise every day to show the potential of Dataiku to support diverse use cases. Practically, this means working closely with account teams, in particular Sales Engineers, to scope solution- or use case-specific demos as well as present our existing solutions where relevant to a given customer.  Deliver  post-sales activities on Dataiku’s AI governance offer: Lead mapping of customer governance principles to product capabilities, plan required workshops, down to actual delivery of customized workflows and user training. The AI Governance Consultant will ensure end-to-end delivery as well as support internal and partner resources on projects, with one shared objective: delivery of value-generating governance for our customers. Deliver post-sales activities on the potential of Dataiku in FSI: Work closely with the Director of FSI Solutions and customers to envision new ways of working with Dataiku and, where relevant, advise and support our Global Services organization with build and implementation of discrete use cases. Consistently implement an efficient approach to end-to-end implementation of Dataiku’s AI Governance offer: ensuring key customer stakeholders are involved in governance discussions; conducting deep dives on customer needs, requirements, and challenges; identifying and advising on customer AI governance frameworks;  supporting colleagues on sales; and mapping customer requirements to Dataiku’s product range.  Establish your position as Dataiku’s regional epicenter for expertise on AI Governance & FSI: Proactively engage internal and external stakeholders as an AI Governance SME with FSI expertise through participating in internal upskilling sessions and external-facing panels and speaking engagements. Contribute to product development: Work tightly with the Product team in charge of Dataiku’s dedicated product to shape the roadmap, reporting own and customer feedback. Exercise business/policy expertise and technical skills in the ideation and development of Governance Solutions and Customer Customizations: with respect to solutions, identify opportunities to build standalone AI Governance solutions that speak to market needs, translating existing regulation, policy, or practices into solutions; with respect to customizations, work closely with customers to understand their requirements and demonstrate facility in translating these into the product through unique workflow (Govern-only) or unique workflows with relevant features across the Dataiku platform. Actively contribute to all other activities handled by Dataiku’s team of AI Governance experts: AI regulatory watch, marketing, awareness, internal enablement, support to development of a strong partner network. What you need to be successful  Masters degree, 7 to 10 years of work experience with outstanding track record in complex project management and roll-out, with the capacity to move from initial initiative design to program roll-out; 1 to 3 years of direct AI and Analytics Governance experience preferred. Proven expertise in governance or regulation-related topics. A good understanding of AI and related governance needs or direct experience with AI governance will be a plus.  Ability to gain competence and expertise with our product offering and its capabilities and translate customers’ scoped needs and requirements into technical and practical solutions. Strong translational  skills with ability to listen to customers’ needs and requirements and identify or propose relevant practical solutions. Both able to make detailed recommendations and not afraid to actually do the work. Capable of handling projects end-to-end in an autonomous and inclusive manner, and of sharing best practices with all stakeholders.  Capable of strong People and Relationship management and at ease working with others, whether collaborating with colleagues across teams or supporting and advising customers across geographies. Great communication skills (both written and oral), able to clearly articulate and present complex situations and concepts in a way that is understood by diverse audiences. Adaptable, Professional, Challenge Seeker, Resilient Based in Singapore (remote or office based) Fluent in English is mandatory, Business-level proficiency in Malay, Mandarin, and/or Thai a plus.#LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the French market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the French enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the French market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€205.000—€255.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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. 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

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamWe build the agentic ML systems that power Basis’s AI Accountant—so it can read documents, reason over context, and complete real accounting workflows safely and accurately.We’re practitioners of the new AI paradigm: rather than only tuning a model, we optimize the system around it—tools, memory, retrieval, orchestration, and evaluation. We push model providers to their limits when necessary (custom runtimes, bigger containers, unusual packages) and run the experiments required to learn quickly.We work from first principles with tight loops alongside Research, Product, Platform, and Accounting SMEs. We think in systems and care deeply about observability, clear abstractions, and code that’s easy to reason about in production.About the RoleAs a Tech Lead on the ML Systems team, you’ll hold the technical vision for a critical area of Basis’s AI platform—such as agent orchestration, evaluations, or context management—and drive it from design to production.You’ll architect systems, write code, and teach others how to do both with clarity and precision. You’ll review designs, simplify abstractions, and make sure the codebase stays coherent as we scale. Your job is technical leadership: holding a high bar for design, execution, and reasoning, and helping others reach it.You’ll operate as both architect and practitioner—writing, teaching, debugging, and designing systems that shape how AI agents reason and learn.What you’ll be doing:1. Define and uphold the technical visionOwn the architecture for a core ML capability (e.g., agent orchestration, eval systems, or context stack).Write and review critical code; establish standards for structure, interfaces, and testing.Drive design reviews that clarify trade-offs and ensure long-term coherence across teams.Create frameworks and abstractions others can build on confidently.2. Build excellent systems and elevate othersPartner with engineers across ML, Research, and Platform to implement robust, observable, and maintainable systems.Teach others how to think like architects: how to simplify complexity, make trade-offs explicit, and leave systems cleaner than they found them.Design processes that help teams reason rigorously—good specs, clear metrics, reproducible experiments.Make sure the work product (code, data, evaluations) reflects our values of clarity, precision, and craft.3. Lead by example in technical executionRun high-velocity experiments across models, tools, and architectures—learn fast, share insights, and translate them into production decisions.Work closely with product and accounting domain experts to turn ambiguous problems into well-defined systems.Contribute across the stack: from prompt orchestration and retrieval to evaluation pipelines and observability tooling.Document decisions and teach through clarity—your design docs, code reviews, and explanations set the tone for the org. 📍 Location: NYC, Flatiron office. In-person team.What We’d Love to SeeExperience with retrieval, embeddings, and structured context management.Familiarity with eval frameworks, vector stores, and experiment tracking.Comfort working with observability stacks (metrics/logs/traces).Exposure to multi-model routing, guardrails, and cost/latency optimization.Prior startup or high-velocity environment experience.What Success looks like in this roleArchitect: You’ve built a subsystem that others depend on and understand intuitively.Mentor: Engineers around you level up in how they reason about systems.Unifier: The codebase feels consistent, legible, and coherent across boundaries.Force multiplier: You ship your own work—but your real impact is how much better the team ships.Builder: You operate with conviction, curiosity, and calm under pressure. In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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CSQ127R41   At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.   The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: Extensive experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Platform Engineering team at Basis designs, builds, and operates the infrastructure that powers our AI research and products. We’re a lean team that loves architecting large-scale distributed systems from first principles.We obsess over clarity: clean abstractions, simple mental models, and crisp interfaces that let our AI and product teams move fast without breaking things.We’re not building features—we’re building foundations for an AI accountant. That means modeling the world the agent lives in (accounting concepts, workflows, and constraints) and providing scalable, observable, and reliable systems that everything else depends on.About the RoleAs a Tech Lead on the Platform team, you’ll hold the technical vision for a core slice of Basis’s infrastructure—how we deploy, model, and serve the data and systems our AI depends on.You’ll design elegant architectures, make trade-offs explicit, and teach others how to reason about distributed systems with clarity and rigor. You’ll drive coherence across runtime, data, and schema layers—so our systems scale predictably and remain legible as we grow.You’ll lead by example through code, design reviews, and decision records—ensuring the platform is not just powerful, but beautiful in its simplicity.What you’ll be doing:Architect and evolve our infrastructure foundationsDesign scalable, cost-efficient services across compute, storage, and networking.Define deployment and runtime patterns (containers, orchestration, IaC, secrets, CI/CD).Build systems for observability and reliability—metrics, logs, traces, SLOs, and recovery patterns.Lead postmortems, define error budgets, and ensure operational excellence becomes a habit.2. Build and standardize our data platformArchitect data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.Define schemas and data contracts that balance flexibility with correctness.Encode validation, lineage, and drift detection as first-class citizens in every pipeline.Build interfaces that make data discoverable, computable, and observable end-to-end.3. Model the domain as a systemTranslate accounting concepts into well-structured ontologies—entities, relationships, and invariants.Create abstractions that allow AI systems to reason safely about real-world constraints.Design for legibility: make complex workflows understandable through schema, code, and documentation.4. Lead through clarity and technical excellenceHold the architectural vision for your area and ensure it stays coherent over time.Run crisp design reviews that challenge assumptions and drive alignment.Mentor engineers on reasoning about systems: from load testing to schema design to observability patterns.Simplify aggressively—removing accidental complexity and enforcing clean, stable 📍 Location: NYC, Flatiron office. In-person team.What Success looks like in this roleArchitect: The systems you design scale cleanly and are easy for others to reason about.Integrator: Platform, ML, and product systems fit together through clear contracts and conventions.Teacher: Your design reviews, docs, and code elevate how others think about architecture.Operator: You make reliability measurable and downtime boring.Builder: You approach every decision with clarity, conviction, and calm.In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Platform Engineering team at Basis designs, builds, and operates the infrastructure that powers our AI research and products. We’re a lean, deeply technical group that loves architecting large-scale distributed systems from first principles.We obsess over clarity—clean abstractions, simple mental models, and crisp interfaces that let our AI and product teams move fast without breaking things. We’re not building “features.” We’re building capabilities for an AI accountant: scalable services, efficient data pipelines, and end-to-end observability that make the entire company move faster.About the RoleAs a Platform Engineer at Basis, you’ll own projects end-to-end—from scoping to delivery. You’ll act as the Responsible Party (RP) for the systems you design, meaning you’re empowered to decide how to build them, how to measure success, and when they’re ready to ship.You won’t be managed—you’ll be trusted. You’ll plan your own projects, collaborate closely with your pod, and take full accountability for execution and quality. You’ll build systems that serve every part of Basis: AI, product, and internal agents alike—and you’ll make those systems fast, reliable, and legible.What you’ll be doing:Build and scale our core infrastructureArchitect and scale services for reliability, cost, and growth.Define deployment and runtime patterns (containers, orchestration, IaC, secrets, CI/CD).Design observability systems (metrics, logs, traces) and make recovery paths routine.Own your services in production—understand their behavior and continuously improve them.2. Design the data systems that power our AIBuild pipelines that ingest, transform, and deliver high-quality financial data.Encode validation, lineage, and drift detection directly into workflows.Serve clean, well-modeled datasets to agents and product surfaces with clear contracts.Continuously simplify—turn complexity into elegant, composable systems.3. Model the world our AI operates inCapture accounting entities, relationships, and invariants as data models and schemas.Debate and design the abstractions that make reasoning and automation possible.Build ontologies that encode domain rules—what agents can and cannot do.4. Operate with ownership and clarityPlan and execute your projects as an RP—scoping, architecting, implementing, and delivering.Document decisions clearly so others can build on your work.Run your own postmortems and continuously improve how you build.Collaborate with your pod (Platform, ML, Product) to align on priorities and unblock quickly.📍 Location: NYC, Flatiron office. In-person team.What Success looks like in this roleOwner: You run your projects from concept to production and hold the bar for quality.Engineer: Your systems are simple, scalable, observable, and elegant.Partner: Other teams build faster because of the clarity of your abstractions.First-principles thinker: You don’t just follow patterns—you understand why they exist.Builder: You work with conviction, communicate clearly, and raise the bar for those around you.In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place.About the RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.What will help you thriveA strong technical background with experience in software engineering, systems engineering, or a related field.Proven experience in a client-facing technical role, preferably within the tech industry.Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.Strong verbal and written communication skills and can explain technical concepts to non-technical stakeholders.Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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YOUR MISSION: As our Value Engineer, you will partner with Direct SEs, Partner SEs, and Sales to quantify and articulate the business value of Agentic AI solutions. This role operates as a business advisor during pursuits — building ROI/TCO models, conducting value discovery, and delivering board-ready narratives that de-risk investment decisions.   IN THIS ROLE YOU WILL: Business Discovery Collaborate with SEs during discovery to capture KPIs, financial metrics, and business outcomes. Facilitate value discovery workshops with client executives. Business Case Development Build ROI/TCO models tailored to each client’s business. Package findings into board-level deliverables (dashboards, one-pagers, exec decks). Validate POV results against projected business outcomes. Direct Sales Alignment Partner with Direct SEs to attach ROI/TCO analysis to strategic deals. Provide executives with clear, financial justification for AI investment. Ensure solution design connects to measurable outcomes. Partner Sales Alignment Support Partner SEs by embedding VE into partner enablement materials. Train partners on how to deliver basic ROI/TCO assessments. Join joint partner pursuits as a business advisor when needed. Post-Sale Value Realization Work with Professional Services and Customer Success to track realized value. Deliver post-implementation value reviews for customer executives. Create case studies to feed back into partner and sales enablement. WHAT YOU BRING TO THE TABLE: 3+ years in Value Engineering, Solution Consulting, or Management Consulting Strong financial modeling and data analysis skills (ROI, TCO, KPI frameworks) Experience presenting to executives (CFO, COO, CIO) in enterprise accounts Familiarity with SaaS, CCaaS, AI, or enterprise technology business models Strong collaboration skills working with SEs, PS, and Partner teams Excellent storytelling and executive presentation skills WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Challenge Task → Expert interview(s) → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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We’re looking for a Product Designer who loves turning ideas into real, tangible products. You’ll take concepts from zero to one — owning the entire design process from discovery to launch. You’ll work on a variety of projects, from new AI-powered products to developer tools, collaborating closely with product and engineering to move fast, test ideas, and craft experiences that make advanced technology feel simple, intuitive, and a joy to use. This is a full-time, hybrid role based in Mountain View, California. Here’s what you’ll do:Own the full design lifecycle — from discovery and research to ideation, prototyping, visual design, delivery, and iteration.Partner with product and engineering teams to translate user insights and strategic goals into impactful experiences.Conduct user research and usability testing to identify pain points and opportunities, turning insights into actionable design solutions.Design elegant, responsive, and accessible user interfaces in Figma, ensuring every interaction feels seamless and intuitive.Work with, add to, and maintain a scalable Design System — including components, documentation, and interaction patterns — to ensure consistency and speed across platforms.Rapidly prototype new ideas using tools like Figma Make and v0, leveraging AI to accelerate exploration and validation.Collaborate with engineers to ensure design intent is implemented effectively — and, where possible, contribute to front-end prototypes using AI-assisted coding workflows.Continuously measure and refine design decisions based on product data, user feedback, and key success metrics. Here are the skills you should have:A passion for designing products that make a real impact and solve meaningful user problems.4+ years of experience designing digital products end-to-end, with a portfolio showcasing shipped work across web and mobile platforms.Strong skills in user research, usability testing, and turning insights into product decisions.Proven experience designing high-quality interfaces and managing design systems from the ground up.Proficiency with Figma and prototyping tools, including AI-powered solutions like Figma Make or v0. Experience and familiarity with coding is a huge plus!Experience collaborating closely with engineers and PMs throughout the product development lifecycle.Curiosity about technical implementation and comfort discussing design decisions with technical depth.Excellent communication skills in English and the ability to articulate design rationale to diverse stakeholders. Bonus points if you have:Experience building 0→1 products or working in early-stage environments.Familiarity with accessibility standards and inclusive design practices.Understanding of front-end fundamentals (e.g., HTML, CSS, Tailwind) and the ability to prototype or code with AI tools.Experience in AI products consumer/B2C products and/or designing for developer-focused platforms.

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.About this role:In this role, you'll build the next generation of AI tools that promote critical thinking, assist in the writing process, and verify document factuality. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.What you'll contribute:Fine-tune and evaluate state-of-the-art language modelsOptimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelinesDevelop multi-agent workflows incorporating data from diverse sources using RAGImprove and iterate on AI agents using observability and experimentation toolsStay up-to-date with the latest literature and emerging technologies to solve novel problemsWork closely with product and design teams to develop intuitive applications that create societal impactQualifications4+ YOE in Python1+ YOE in LLM framework like Langchain or LlamaIndex1+ YOE with agentic or RAG applicationsStrong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutionsExperience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputsExcellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelinesSelf-starter (pitch, plan, and implement as a project owner in a fast-paced team)Highly motivated to make positive societal impactAbility to wear multiple hats and be a leader as our team growsVisa for work in Canada or USBonus:Strong open-source portfolioPublications at top-tier ML venuesExperience working in an early-stage startup environmentExperience with a prompt optimization framework like DsPY or TextGrad

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are making a huge impact in the Healthcare industry. As an AI Platform Engineer, you will collaborate closely with a cross-functional team of researchers, clinical scientists, and product engineers. You will design and build the runtime, orchestration engine, and evaluation platform for agentic orchestration and LLM-driven workflows.What You’ll DoDesign and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool-calling interfaces, and scheduling for cost, latency, and quality.Build secure, sandboxed execution for agent actions and code; optimize cold start, isolation, and observability.Ship unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors for data and actions.Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time.Partner with Research to deliver new agent capabilities end to end—from prototype to production.What You’ll BringExperience building agent applications with tool-calling, context engineering, or open connector integrations.Fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, or custom pipelines).Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool use, or agentic workflows.Strong coding skills in one or more of: Python, Java, Go. Comfortable with service design, APIs, and data models for high-throughput systems.Working knowledge of containers and kubernetes concepts. Familiarity with metrics, tracing, on-call rotations, and incident response practices.Self-motivated with a willingness to take ownership.Strong communication skills and ability to work collaboratively in a team environment.Bonus Points If…Prior work on agent orchestration pipelines: task routing, planning, memory graphs, vector search, or browser automation.Experience with evaluations, preference optimization, or RL to improve LLM reliability.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Location 📍: San Francisco, USA (Hybrid 3 days/week) About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce. We’re building a new category of AI automation, enabling teams to create and deploy intelligent AI agents that replicate human-quality work, decision-making, and collaboration at scale.We’re scaling fast backed by top global investors including Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital and our platform is already trusted by industry leaders like Canva, Databricks, Confluent, KMPG, Autodesk, and more. With offices in Sydney 🇦🇺 and San Francisco 🇺🇸 (and a new hub launching in Barcelona 🇪🇸), this is your chance to shape the future of work on a global stage.The Role 🧠We’re looking for a Founding Site Reliability Engineer to join us as our first SRE hire in San Francisco. We are open to hiring someone who is Senior, Lead or Principal level and will be candidate led. This role is perfect for someone ready to establish and scale the SRE discipline from the ground up in one of the fastest-growing AI companies globally.You’ll own the reliability, scalability, and security of our platform as we power tens of thousands of multi-agent workloads across multiple regions. You’ll partner closely with our founders, engineering leads, and product teams to define our reliability culture, shape long-term strategy, and build world-class infrastructure for enterprise scale.What You’ll Do 💪Own SRE establishing best practices, tooling, and cultureTackle reliability challenges unique to multi-agent orchestration at enterprise scaleGuarantee >99.9% uptime of production systems, ensuring reliability at global scaleArchitect and automate AWS infrastructure with Terraform and CI/CD pipelinesDesign observability systems across microservices, APIs, and vector infrastructure (metrics, tracing, logging)Drive down incidents and MTTR through runbooks, alerting, and incident response excellenceHelp scale infra to support hundreds of thousands of agents and billions of API callsPartner with engineering teams to embed SRE principles into the SDLC and shape org-wide reliability strategyAct as a founding voice in our SF office, influencing product direction and engineering cultureWhat We’re Looking For 🧠5+ years in SRE/DevOps/Infrastructure roles, with experience in enterprise SaaS environments.Deep AWS expertise (EC2, ECS/EKS, Lambda, RDS, VPC, IAM).Proven track record with Infrastructure as Code (Terraform, Kubernetes/EKS, CDK, or CloudFormation).Hands-on with observability stacks (CloudWatch, Grafana, Prometheus, Datadog).Incident management experience in production SaaS systems, including on-call, postmortems, and reliability improvements.Bonus: Prior exposure to AI/ML platforms, data-heavy systems, or multi-agent workloads.Tech Stack 🧰AWS, Kubernetes/EKS, Terraform, GitHub Actions, Postgres/Mongo, Prometheus/Grafana, CloudWatch, PagerDuty/BetterStack

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.  Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.As a Cohere Research Intern, you will:Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.Disseminate your research results through the production of publications, datasets, and code.Contribute to research initiatives that have practical applications in Cohere’s product development. You may be a good fit if you:Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period. Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.Are familiar with autoregressive sequence models, such as Transformers.Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly. Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.Have previous experience in building systems based on machine learning and deep learning techniques. Demonstrate passion for applied NLP models and products.Preferred Qualifications: Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science. Proven ability to tackle analytical problems using quantitative methodologies. Proficiency in handling and analysing complex, high-dimensional data from various sources.Experience in applying theoretical and empirical research to real-world problem-solving.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs Mission Planning Engineer, you will design and implement the algorithms that form the core of Harmattan’s mission planning engine. You’ll develop routing, guidance, and navigation capabilities that operators can rely on, even when the environment is uncertain or adversarial.ResponsibilitiesAlgorithm Design & ImplementationDevelop mission-planning, routing, and path-optimization algorithms.Implement visual navigation and map-preloading for GPS-denied or spoofed conditions.Integrate algorithms into backend and simulation frameworks for real-time use. Simulation & ValidationBuild and run simulations to validate algorithm robustness under contested scenarios.Design stress-testing methodologies and performance metrics for field validation.Cross-Functional WorkCollaborate with UX and Product to ensure outputs are interpretable, usable, and operationally meaningful.Work closely with backend teams to ensure scalability and low-latency integration.Candidate RequirementsEducation: M.S. or Ph.D. in Aerospace Engineering, Robotics, Applied Math, or related.Experience: 5–10 years designing mission-planning or navigation algorithms (defense, aerospace, robotics).Technical Skills: Expertise in GNC (Guidance, Navigation & Control), visual navigation, SLAM, and Python/C++/MATLAB.Mindset: Research-to-deployment mindset, system thinker, operator-focused.Clearance: Eligible for U.S. DoD Security Clearance.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: Washington DC (on-site preferred)Compensation: $165K-$190K + equity + benefitsStart Date: November 2025We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!What You'll DoLead the migration of our database from Aurora to PlanetScale, ensuring zero downtime and optimal performanceDesign and implement a comprehensive data warehouse in BigQuery with robust ETL pipelines that unify data from all sourcesArchitect and deploy Temporal infrastructure to power background agents and durable workflows at scaleOwn our CI/CD pipeline with relentless focus on deployment speed, test coverage, and reliabilityManage infrastructure as code using SST and Pulumi, ensuring environment provisioning is repeatable and reliableOptimize infrastructure costs and engineer efficient, right-sized solutionsWho You AreYou audit systems holistically and implement unified standards—like creating complete observability across all services, infrastructure, and providersYou champion developer experience as much as production reliability, continuously improving both local and cloud environments. Push the boundaries of what's possible with AI tooling - configuring Claude Code instances, building custom MCP servers, and creating workflows that 10x developer productivityYou anticipate infrastructure needs before they become bottlenecks, owning the evolution of systems as we scaleYou define and enforce critical standards around data governance, customer privacy, and security best practicesYou take ownership of complex problems end-to-end, balancing strong technical opinions with pragmatic trade-offsYou believe great infrastructure enables teams to move fast without breaking thingsWhy You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. Future graduatesSana is leading the way in an unprecedented time, with AI enabling change that will be more significant than the internet revolution. In this unprecedented moment, what we do one day can be obsolete the next. This requires extreme intuition, strategic minds, bold tradeoffs, and not least, grit. For the right person, it’s equally challenging as it is rewarding, as we’re doing something every day worth recounting to future generations.About the roleThis is an open application for those who are graduating in the upcoming years and would like to be part of a dynamic team. Whether you're in Operations, Marketing, Customer Success, Go-to-Market, or Product, your future role will involve identifying emerging market needs and trends, contributing to product development, and understanding how Sana can address the challenges faced by leading global organizations. You'll help shape the future strategies and structures within your team, focusing on expanding into new markets, supporting strategic initiatives, and developing the tools and processes that enable Sana to scale effectively. What will help you thriveCurrently enrolled in a university.Speak fluent English, and preferably one more European/Nordic language.Possess entrepreneurial spirit and adaptability, alongside a relentless determination to deliver and achieve targets.Passion about workforce efficiencies and deeply committed to continuous learning and development.A humble and curious mind.Enthusiasm about starting a career with Sana post-graduation.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. About the RoleEngineering at Lambda is responsible for building, operating, scaling and maintaining our AI Cloud offerings. The HPC Deployments team are responsible for deploying cutting edge NVIDIA GPU clusters on time, at scale and with 100% quality & correctness.Reporting to the Director of Fleet Engineering, you will lead and scale one of our HPC Deployments teams. This work is highly cross functional and critical to the timely success of our customers. Your team is focused on building and validating clusters deployed across our data center facilities. You will work collaboratively with Product and Infrastructure engineering teams to improve transparency, metrics, automation and overall efficiency for the team. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this Manager role. Your application is not a waste of our time.What You’ll DoLead and grow a distributed top-talent team of HPC engineers responsible for the configuration, validation, deployment of large scale GPU clusters.Work cross functionally with teams in the organization to deliver projects and deployments on time, ensuring alignment across stakeholders.Identify opportunities for efficiency improvements in the tools / process / automation that the team relies upon day to day.Ensure stakeholders have clear visibility into deployment progress, risks, and outcomes.Drive outcomes by managing staff allocations, project priorities, deadlines, and deliverables.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Stay current on the latest HPC/AI technologies and best practicesParticipate in the qualification efforts of new technologies for use in our production deploymentsYouExtensive experience in HPC or large-scale infrastructure, including at least 3 years in a leadership or management role.Work well under deadlines and structured project plans; able to successfully (and tactfully) negotiate changes to project timelinesHave excellent problem solving and troubleshooting skillsCan effectively collaborate with peer engineering managers to coordinate efforts that may impact deployment operationsAre comfortable leading and mentoring HPC engineers on cluster deployments as neededExperience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercisesNice to HaveExperience with Linux systems administration, automation, scripting/coding.Experience with containerization technologies (Docker, Kubernetes)Experience working with the technologies that underpin our cloud business (GPU acceleration, virtualization, and cloud computing)Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)Soft Skills (customer awareness, diplomacy)Bachelor’s degree or equivalent experience in a technical field.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the roleThis role focuses on building and scaling Sana's search infrastructure (with emphasis on retrieval systems, ranking algorithms, and search APIs) to handle enterprise-scale knowledge discovery. The main responsibility is to architect search systems that handle 10-100x current volumes while maintaining sub-second latency and exceptional relevance. Strong expertise in Vespa or similar search engines, vector databases, and embedding models is essential for success in this role. Agents are bottlenecked by what they know, and search is the key piece to enable agents to reason and act on relevant context. This means that we need to reconsider the search stack for the era of agents.You'll be joining a talented engineering team where you'll collaborate closely with backend, search, AI, and infrastructure engineers to shape our search architecture—this is not a solo mission, but a collective effort to reimagine knowledge discovery.In this role, you willArchitect and scale our search infrastructure to handle billions of documents while maintaining sub-second response times across complex multi-tenant environmentsDesign hybrid search systems that seamlessly blend traditional keyword search with semantic understanding, leveraging state-of-the-art vector databases and retrieval modelsBuild intelligent ranking and personalization systems that learn from user behavior to improve relevance continuouslyCollaborate with our AI engineers to integrate large language models into the search pipeline, creating retrieval-augmented generation systems that transform how people interact with knowledgeOptimize search performance across the stack—from query parsing and index design to distributed system architectureLead the development of our search observability and quality frameworks, establishing metrics and systems to measure and improve search relevanceWork closely with product and design to shape the future of knowledge discovery at Sana What success looks likeBuild search systems that scale elegantly—architecting for billions of documents and millions of queries while meeting strict latency requirements.Design search systems that apply proven, scalable techniques as well as latest practical advancements in semantic AI retrievalProactively identify search quality issues through comprehensive observability—establishing metrics, monitoring, and automated quality regression detectionBalance hands-on implementation with system design, mentoring team members on search best practices and IR fundamentalsApply deep search infrastructure expertise (index optimization, query planning, distributed retrieval, caching strategies) to solve performance bottlenecks before they impact usersDrive the evolution from traditional search to AI-powered discovery, integrating embedding models, reranking systems, and RAG pipelines while maintaining system reliabilityEnsure our search infrastructure can handle enterprise-scale deployments with strict latency SLAs, multi-tenancy isolation, and 99.99% uptimeWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Parloa Parloa’s ambition is to become an iconic AI Platform company serving Fortune 2000 enterprises, a unique opportunity to shape the next era of enterprise AI. With global enterprise customers, we are already proving the impact of our Agent Management Platform (AMP), which - beyond the initial success - is evolving into the AI Agent Management layer for enterprise AI transformation. We are building Europe’s leading engineering organization to set the global benchmark for engineering excellence. Our mission is clear: deliver robust, enterprise-grade, resilient, and reliable AI solutions at speed. In a fast-moving market where sales cycles for multimillion-dollar deals can be as short as 1–2 months, speed is our currency. We are competing head-to-head with the big-tech companies and fast-moving AI-native startups. This is our moment to establish Parloa as a global leader in Agentic AI Platforms. Our engineering team is building a Composable Customer Experience Platform with Packaged Business Capabilities (PBCs), giving customers the power to choose between a turnkey solution or a composable toolkit integrated into their enterprise stack. Our engineering organization (120+ people, scaling fast) is structured into Customer Experience Automation (CXA), Product Platform, and Technology Platform—together delivering a Composable Customer Experience Platform. Think AWS-like granularity, but built to empower enterprises with speed, flexibility, and resilience. This is a once-in-a-decade opportunity to define how Agentic AI will transform the enterprise. To win, we need elite engineering leadership: fearless, pragmatic, and obsessed with building high-performing teams that deliver outcomes at speed and scale. The Role As an Engineering Manager (f/m/d) at Parloa, you will be entrusted with one of the most critical missions: Building and leading a high-talent, high-performance team of engineers. Ensuring that the team delivers enterprise-grade, resilient, and innovative AI solutions that customers love. Raising the bar on technical excellence, cultural leadership, and operational discipline. You are both a builder and a leader. You dive deep into technical challenges, but your true leverage comes from how you develop engineers, scale teams, and drive alignment with Parloa’s strategic goals. You balance autonomy with accountability, empowering your teams while ensuring they deliver measurable customer and business impact. What You’ll Do Build and scale world-class teams: Hire, mentor, and elevate exceptional engineers. Create a culture of ownership, bias for action, and continuous improvement. Drive outcomes, not just output: Ensure every project directly contributes to Parloa’s strategic goals and delivers measurable customer value. Raise the technical bar: Partner with Staff and Principal Engineers to drive architectural excellence, reliability, and pragmatic perfectionism—design for tomorrow, build for today. Foster fearless culture: Enable fast, decentralized decision-making, encourage experimentation, and build trust by supporting your team in both successes and failures. Lead with alignment and clarity: Translate company strategy into clear objectives and measurable outcomes for your team. Ensure operational excellence: Instill high standards in security, availability, quality, and performance, making resilience and scale-by-design the default. Collaborate cross-functionally: Partner with Product, Design, and Business leaders to ensure technical execution and product vision are tightly aligned. Who You Are A proven engineering leader (8–12+ years in software engineering, 3–5+ years in people leadership) with a track record of delivering complex, enterprise-grade systems at scale. A talent magnet: you know how to attract, develop, and retain world-class engineers, raising the bar with every hire. A strategic operator who can both set vision and dive deep into technical or operational details when needed. A culture builder: you model integrity, ownership, customer obsession, and high standards, inspiring others to do the same. Fearless and pragmatic: you balance ambition with execution, turning bold visions into reality through iteration and disciplined delivery. Skilled in scaling organizations: you know how to build systems, not bureaucracy, to ensure sustainable speed and impact. Why Join Parloa? Impact at Scale: Define the future of enterprise AI in a market ripe for disruption. Elite Talent Density: Work alongside top-tier engineers, Staff, and Principal leaders in a reverse-pyramid structure optimized for speed and innovation. Culture of Builders: Ownership, autonomy, and fearless iteration are not slogans—they are how we win. Uncapped Growth: Be part of an org growing 4x annually, where career opportunities multiply as fast as our business. Global Ambition: Help establish Parloa as Europe’s most admired engineering organization, competing head-to-head with FAANG and beyond. Our Values At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: Earn Trust – act with transparency and reliability. Obsess Over Customers – always start with the customer problem. Think Big – set bold goals and pursue them fearlessly. Have Integrity – do the right thing, especially when it’s hard. Disagree & Commit – debate with candor, align fast, and deliver. Own It – take full responsibility for outcomes, not just tasks. Dive Deep – master the details without losing sight of the big picture. Bias for Action – move fast, decide quickly, iterate fearlessly. Deliver Value – measure success by customer and business impact. Insist on the Highest Standards – raise the bar continuously. Go the Extra Mile – make the impossible possible. Hire & Elevate the Best – raise the bar with every hire. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days.   Your recruiting process at Parloa: Recruiter video call → Peer Interview → 360° Technical Interview Loop → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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About MaincodeMaincode is an AI research and engineering company and home to Matilda, Australia’s first and only large language model trained from scratch. We operate our own advanced AI infrastructure in local data-centres; designing, building, and running everything from the racks up through model training and serving systems.We’re building an AI Model Factory, a new kind of compute infrastructure that powers frontier AI research and production systems that work at scale. About the RoleDespite the title, this role isn’t really about traditional mechatronics. We’re looking for something that doesn’t quite exist in the market: an AI Model Factory Architect.This role sits at the intersection of physical systems, large-scale compute, and AI research. You’ll help design and operate the infrastructure that trains large-scale models: racks of GPUs, high-performance networks, and the orchestration systems that keep them running.People with strong research instincts and systems thinking thrive here. You don’t need prior datacenter experience; curiosity, first-principles reasoning, and the ability to learn fast matter more. Someone from mechatronics, robotics, or aerospace who has strong computational skills could excel in this role. We’ll give you the time, mentorship, and resources to master how these systems work, and you’ll develop expertise in one of the most essential technical domains of the coming decade. What You’ll DoLearn to design, deploy, and operate the backbone of AI infrastructure.Work with GPU clusters, high-speed networking, and large-scale Linux systems.Contribute to the architecture of Australia’s first production-scale AI datacentre systems.Collaborate with AI researchers and engineers to shape the next generation of model training environments.Develop new operational and architectural approaches from first principles. You Might Be a Fit IfYou have a background in a technical or scientific field (mechatronics, robotics, aerospace, physics, or similar) and strong computational skills (e.g., modelling and numerical simulation, automation, MPI or HPC environments, GPU and accelerator programming, systems programming, or Linux).You enjoy understanding complex systems from first principles.You learn new technologies fast and apply them independently.You think in terms of system architecture, how components interact and scale.You’re curious about how AI actually runs, from circuits and cooling to training loops.