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Hey! We're team Granola If you haven't already, you should check out what we're building, and why you should work here.We’re looking for a Analytics Engineer who loves turning raw data into powerful insights and predictive models. You’ll work closely with product, engineering, and ops to help shape our roadmap — from hypotheses, to experiments, to scalable models in production. You'll have a big impact on how we unlock value from our data, and scale Granola’s analytics and intelligence capability as we 100× in users.In this role, you will:Own Granola's data infrastructureMaintain and improve pipelines between our data warehouse and various data sources, including our production database, Amplitude/Posthog, and other SaaS tools we use, and build new pipelines.Build improvements to our data transformation process using SQL and dbt, optimising for performance and ease of querying.Make architecture decisions regarding data infrastructure.Define metrics and dashboards to track business health and model performance.Continuously evaluate and iterate on models in production — improving, retraining, and optimising.Mentor others in data thinking, share knowledge, and help elevate our analytical culture.Your background looks something like:Several years doing applied data science / machine learning in a product environment (consumer SaaS, fintech, marketplace or similar).Strong foundation in statistics, experimentation, causal inference, and common ML techniques (regression, tree ensembles, clustering, time series).Hands-on experience with ML frameworks and tools (e.g. Python, scikit-learn, PyTorch or TensorFlow, MLflow or equivalent).Experience deploying models (e.g. via REST endpoints, batch jobs, feature store) and monitoring them.Comfortable working with data pipelines, SQL, data engineering, ETL, handling large datasets.Strong communication skills — able to explain technical insights to non-technical stakeholders.Bonus: experience with reinforcement learning, LLMs or generative AI, real-time streaming, or causal modelling.As a person, you…Are first and foremost a builder — you want to go from zero to one, and ship things that matter.Thrive in working in person from our London office (most of the time).Love the challenges (and messiness) of a growing startup environment — you either have startup experience or are drawn to that kind of fast feedback loop.Value working with people who are kind, ambitious, and pragmatic.Are excited about AI/ML, and driven by turning data into impact (direct experience not strictly required in every domain).Enjoy ambiguity, shifting priorities, and iterating quickly.About the opportunity We are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About Haast We’re not just talking about AI - we’re building one of the first enterprise-grade LLMs delivering real value to compliance and legal teams today. Our AI-powered platform cuts review times by up to 80% and boosts productivity by 4x for global legal, compliance, and marketing teams. With regtech racing toward a $50B market, Haast is leading the AI revolution in enterprise compliance. Think of it this way: Design has Canva. Projects have Trello. Compliance has Haast. The Role As a Sales Engineer at Haast, you'll be the bridge between our cutting-edge AI platform and enterprise customers who are hungry for transformation. You'll work hand-in-hand with our core engineering team to build custom POCs, extract powerful data insights, and deliver customer-requested features that showcase the magic of our compliance engine. This is where technical excellence meets customer success and where you'll help enterprises fall in love with automation! Impact You'll Make Build killer POCs that demonstrate our platform's capabilities to enterprise prospectsExtract and visualize data insights that drive customer success and showcase ROICollaborate directly with engineering to deliver custom features and integrationsPartner with the sales team to translate complex technical concepts into compelling business valueImplement Key Features work with the core engineering team at Haast to build customer requestsCreate compelling demos that show how we transform compliance from pain point to competitive advantageSupport customer implementations and ensure seamless technical onboarding What You'll BringMust Have:Strong understanding of enterprise software and technical architecturesExperience building POCs, demos, or technical prototypesSolid Python and Javascript skills with ability to work with APIs and databasesTrack record of translating technical capabilities into business outcomesProblem-solving mindset with ability to work in a fast-paced startup environment Nice to Have:Experience in compliance, legal tech, or regulated industriesBackground with AI/ML platforms or data analyticsSkills in Svelte, FastAPI, or modern Python/web frameworksKnowledge of PostgreSQL, search, or data-visualization toolsFamiliarity with AWS and security frameworks (incl. vendor security questionnaires)Previous startup or high-growth environment experience Why You'll Love It HereGround floor opportunity at one of the fastest-growing regtech startups in AustraliaDirect customer impact - your solutions will be used by major enterprises dailyFront-line problem solving - work directly with customers to solve real-world challengesCutting-edge tech - work with the latest AI, search, and automation technologiesFlexible working - we support work-from-home and flexible arrangementsContinuous learning - massive opportunities for professional developmentMeaningful mission - help enterprises reduce risk while freeing up humans for high-value work Ready to Join the Team? If you're excited about combining technical excellence with direct customer impact, we want to hear from you!This is your chance to join a high-growth startup that's reshaping an entire industry.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you.

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Principal Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Principal Data Engineer to own the company-wide data architecture and platform. Design and scale reliable batch/streaming pipelines, institute data quality and governance, and enable analytics/ML with secure, cost-efficient systems. Partner with engineering, product, analytics, and security to turn business needs into durable data products.ResponsibilitiesWhat you will do: Architecture & Strategy Define end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata). Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models. Publish roadmaps, ADRs/RFCs, and “north star” target states; guide build vs. buy decisions. Platform & Pipelines Design and build scalable, observable ELT/ETL and event pipelines. Establish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies. Provide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores). Ensure workflow reliability (idempotency, retries, backfills, SLAs). Data Quality & Governance Define dataset SLAs/SLOs, freshness, lineage, and data certification tiers. Enforce contracts and validation tests; deploy anomaly detection and incident runbooks. Partner with governance on cataloging, PII handling, retention, and access policies. Reliability, Performance & Cost Lead capacity planning, partitioning/clustering, and query optimization. Introduce SRE-style practices for data (error budgets, postmortems). Drive FinOps for storage/compute; monitor and reduce cost per TB/query/job. Security & Compliance Implement encryption, tokenization, and row/column-level security; manage secrets and audits. Align with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable). ML & Analytics Enablement Deliver versioned, documented datasets/features for BI and ML. Operationalize training/serving data flows, drift signals, and feature-store governance. Build and maintain the semantic layer and metrics consistency for experimentation/BI. Leadership & Collaboration Provide technical leadership across squads; mentor senior/staff engineers. Run design reviews and drive consensus on complex trade-offs. Translate business goals into data products with product/analytics leaders. Requirements 10+ years in data engineering (including 3+ years as staff/principal or equivalent scope). Proven leadership of company-wide data architecture and platform initiatives. Deep experience with at least one cloud (AWS) and a modern warehouse or lakehouse (e.g., Snowflake, Redshift, Databricks). Strong SQL and one programming language (Python or Scala/Java). Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub). Data modeling (3NF, star, data vault) and semantic/metrics layers. Data quality testing, lineage, and observability in production environments. Security best practices: RBAC/ABAC, encryption, key management, auditability. Nice to Have Feature stores and ML data ops; experimentation frameworks. Cost optimization at scale; multi-tenant architectures. Governance tools (DataHub/Collibra/Alation), OpenLineage, and testing frameworks (Great Expectations/Deequ). Compliance exposure (SOC 2, GDPR/CCPA; HIPAA/PCI where relevant). Model features sourced from complex 3rd-party data (KYB/KYC, credit bureaus, fraud detection APIs) Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role: We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale. You will design, develop, and run Crusoe’s next-generation observability stack, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces. Your work will ensure reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform.What You’ll Be Working On:Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environmentsArchitecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualizationExtending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetryBuilding scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacksImplementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIsDefining and driving adoption of SLOs, SLIs, and error budgets across services and teamsAutomating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python)Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure)Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controlsPartnering with engineering teams to embed observability into applications, services, and infrastructureMentoring engineers and shaping Crusoe’s observability strategy and technical roadmapWhat You’ll Bring to the Team:7+ years of experience in infrastructure or platform engineering, with a focus on observability and monitoring systemsDeep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry)Strong programming skills in Go or Python for automation, operators, and custom integrationsExperience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environmentsProven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput dataSolid understanding of distributed systems, performance engineering, and debugging complex workloadsFamiliarity with service meshes, networking, and workload instrumentation (Envoy, Istio, OpenTelemetry SDKs)Strong collaboration skills and the ability to influence engineering teams to adopt observability best practicesBonus Points:Contributions to open source observability projects (Prometheus, OpenTelemetry, Grafana, Loki, etc.)Experience supporting AI/ML or GPU-heavy environments with high observability demandsKnowledge of event-driven or streaming systems (Kafka, NATS, Pulsar) used in telemetry pipelinesExperience implementing cost optimization strategies for large-scale observability platformsBackground in incident response, chaos engineering, and reliability practicesBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation:Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Product Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: End-to-End Product Development: Led the creation of customer-facing products from ideation to launch, driving the full product lifecycle (0 to 1). Cross-Functional Ownership: Acted as a product owner, seamlessly wearing multiple hats, including product management, engineering, design, and customer support, to deliver cohesive solutions. Agentic Product Experience: Hands-on experience building products that leverage autonomous or agentic systems, focusing on user-driven outcomes. Broad Technical Exposure: Worked across a variety of programming languages, frameworks, or platforms, showcasing adaptability and a learning mindset. Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Knowledge of service observability, analytics and reliability best practices.  Additionally, any of the below points will help a candidate stand out: Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in any language. Distributed systems design interview. Annual Salary Range $180,000 - $440,000 USD Benefits: Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role  As a Cloud Platform Product Manager at Cerebras, you will define how startups and enterprises access and utilize the power of Cerebras wafer-scale AI compute through our cloud platform.  You will own product strategy for our Cloud Platform and Serverless Inference product, including Enterprise and Security features. Serverless Inference is how most developers initially experience Cerebras. You'll shape how this product scales by solving capacity management, forecasting, service utilization, SLA guarantees, and connecting insights to customer success. You'll also launch new offerings that match key customer needs in the market.  You will partner closely with Engineering, Sales, and GTM teams to build and scale our Cloud platform and Serverless Inference business.  Responsibilities  Define and own the product vision, strategy, and roadmap for the Cerebras Cloud platform – balancing rapid iteration with long-term platform evolution to build the premier Serverless Inference offering for the most ambitious and valuable AI applications.  Drive capacity management and forecasting to optimize resource allocation and predict demand  Analyze service utilization patterns to maximize platform efficiency and customer value  Define SLA frameworks and performance standards to ensure reliable service delivery at scale  Collaborate with customer support to translate user feedback into platform improvements and feature priorities  Lead serverless endpoint business strategy including pricing, packaging, and go-to-market execution with Sales, Marketing / Developer Relations, and Customer Success.  Stay on the cutting edge of API, developer-tools, and AI-infrastructure trends to keep Cerebras’ offering best-in-class.  Skills & Qualifications  Passion and ability to rapidly prototype new AI use case demos or develop internal AI-native systems and workflows to accelerate product development.  Experience building products in the AI space. Experience with both Developer and Enterprise audiences. Familiarity with OSS inference stacks (vLLM, SGLang, Dynamo).     Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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 DoBuild bespoke solutions - Create customer-specific APIs, workflows, dashboards, and automations tailored to unique business requirementsChampion metrics - Monitor adoption metrics, proactively address barriers, and ensure customers achieve their desired outcomesInfluence product direction - Gather feedback, identify patterns, and translate customer needs into actionable product requirementsWho You AreCustomer-focused engineer with 1+ years building software in customer-facing roles, comfortable navigating complex organizational dynamicsFull-stack developer skilled in Python, APIs, and integrations with experience building custom solutions for diverse technical environmentsImplementation expert with proven track record driving successful technical rollouts, managing multiple concurrent projects, and delivering results under tight timelinesNatural communicator who excels at technical presentations, workshops, and building long-term relationships with both technical teams and executivesProblem-solving mindset with bias for action, resilience when facing obstacles, and passion for seeing customers succeed with cutting-edge AI technologyWhy 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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Figure is an AI robotics company developing a general-purpose humanoid. We’re focused on tackling the complex, unstructured environment of the home as a proving ground for general robotics. We’re based in San Jose, CA and require 5 days/week of in-office collaboration. We’re looking for a Middleware Software Intern for Winter 2026 to help build out the core platform infrastructure that keeps our robot running. How do you enable apps on a robot to exchange 320,000,000 messages per hour, 24 hours a day, without fail? How do you efficiently capture and store all of that data? And how do you give developers the tools to visualize and interact with it? These are the types of challenges you’ll be working on. This internship is designed for students in their final year of an undergraduate or master’s program, as well as recent graduates who are on track to complete their degree by the end of 2026 (or the following year). Responsibilities Implement and test C++ software running on embedded Linux systems Write Python scripts to investigate and resolve issues Work with our testing infrastructure to ensure fixes remain stable Requirements Graduate student or recent graduate in Computer Science or related field Available for a minimum of 10 weeks (1–2 terms preferred) Demonstrated experience on hardware/software projects outside of coursework Proficient in C++ and Python Strong understanding of Linux Solid knowledge of computer architecture and networking protocols Bonus Qualifications Experience with the Bazel build system Familiarity with timing-sensitive environments Knowledge of shared memory and lock-free systems Exposure to TypeScript

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📐 About this roleWe’re looking for a Strategic customer success manager to lead AI powered transformation for our Fortune 50 customers in the CPG industry. This role is designed for an experienced professional with deep expertise in CPG who thrives on driving innovation within this ecosystem. The ideal candidate is passionate about integrating AI solutions into core CPG workflows, identifying tangible business value, and building strong, strategic partnerships with customers.As our Strategic customer success manager, you’ll be pivotal in refining our processes for onboarding, adoption, and retention within the CPG sector. With an NRR of +130%, and GRR is +95%, you’ll be building on a world-class foundation to drive even greater success.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilities:Lead strategic relationships with senior stakeholders across Fortune 50 CPG customers, acting as the main point of contact and trusted advisorDrive AI adoption within customer organizations by developing tailored success plans that align AI solutions with key business objectives and measurable outcomesManage complex, high-value programs that focus on AI - powered transformation, ensuring seamless execution, adoption, and business value realizationOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable for customer retention: Drive both Gross and Net dollar retention rate targets for your customersCollaborate closely with Sales to identify and execute expansion opportunities, ensuring mutual growth through cross-sell and up-sell initiativesAdvocate for customer needs internally: Leverage CPG-specific insights to influence product strategy and enhance the customer experienceLeverage data analytics: Analyze product usage and adoption data to uncover valuable insights, empowering customer champions with smarter decision-makingLead the customer journey: Ensure a seamless experience from onboarding through renewals and expansions, always focusing on long-term customer success and satisfaction⭐️ Is this you?7+ years experience in CPG, ideally with in-house expertise3-5+ years experience in a customer facing saas or consulting role, with experience in driving business transformation, strategy, or enablementProven ability to engage C-level stakeholders, with experience influencing executive decision-makers and driving adoption at the highest levelsStrong understanding of CPG industry dynamics, including its challenges, opportunities, and specific needs for digital transformationA track record of leading complex programs with a focus on strategic alignment, KPIs, and driving large-scale adoptionData driven with strong business acumen: Ability to link product value and AI solutions to measurable business outcomesExcellent communication skills: A skilled storyteller who can clearly articulate value propositions and insights to both technical and non-technical audiencesProactive, self-motivated, and highly organized, thriving in a fast-paced, high-growth environmentA natural affinity to our values of Connect, Challenge, Own🌟 Preferred skillsBackground in management consulting, particularly with a focus on AI or digital transformation in CPGExperience in operational transformationExperience managing large-scale change management programs or AI rollouts in complex organizationsExceptional presentation skills: Able to create and deliver compelling narratives to executive audiences, driving strategic initiatives forward 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!Snorkel AI is hiring a Technical Delivery Manager (TDM) to lead data development projects from start to finish. You will coordinate cross-functional teams, manage risks, and keep each initiative on track and on budget. The TDM will own every phase of the project lifecycle, ensuring deliverables meet Snorkel AI’s standards of quality. Our projects sit at the cutting edge of AI, requiring a focus on detail and a readiness to adapt as the field advances. Main Responsibilities Make Work Visible: Break tasks down, track progress, and keep stakeholders informed about changes, risks, or blockers. Bridge Concept and Execution: Convert abstract requirements into clear project plans. Manage Data Flows: Oversee data ingestion, transformation, and storage across multiple systems, leveraging SQL, JSON, and query management. Identify and Mitigate Risks: Maintain a risk management plan and apply mitigation strategies as needed. Drum Up Cross-Functional Ownership: Provide spirited encouragement so teams see how their work fuels the project’s overall impact. Collaborate with Client Success: Work with the Client Success team to structure project details for external or client-facing materials. Manage Budget: Oversee project finances by tracking expenses, aligning resources with project goals, and ensuring spending stays within approved limits. Communicate budget clearly to stakeholders and provide timely updates on financial risks or adjustments. Communicate with Data: Present updates and forecasts using data-driven insights for diverse audiences. Minimum Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field  5+ years in technical service delivery or technical project management Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) to create, interpret, and present insights. Experience with SQL, JSON, python and query management for pulling, pushing, and consolidating data from multiple sources. Proven ability creating solutions “from scratch” and adapting swiftly to evolving needs Ability to adapt plans in resource-constrained or fast-changing environments Familiarity with system architecture and AI/ML concepts Strong communication and stakeholder management skills Preferred Qualifications Experience managing projects involving data labeling, annotation workflows, or LLM training Proficiency with Agile methodologies and project management tools (e.g., Jira, Confluence) Relevant certifications (e.g., PMP, PMI-ACP) Experience at a startup or growth-focused organization MBA or consulting background with a track record of turning broad goals into measurable outcomes Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. To support global hiring, this role will be employed through our Employer of Record partner. You will be a full-time Snorkel employee, fully integrated into our team and culture Pay Range: $4,000-$7,000 per month (USD)     #LI-GM1Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About the TeamAt OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building a team to help organizations worldwide unlock the potential of AI while upholding OpenAI’s values of safety, responsibility, and transparency.The Customer Education team is responsible for helping every user become AI-enabled - guiding to real value today, and preparedness for an increasingly advanced AI future. We do this through a system of programs, experiences, resources we can deliver at the scale of demand.About the roleWe’re looking for a strategic, hands-on lead for our enablement experience within the Education vertical. You’ll shape and deliver programs that guide learners from first setup to confident, ongoing use—helping the next generation (and the people who teach them) get AI-ready and use it responsibly—while evolving the approach to match our product pace and the academic calendar.This is a highly cross-functional role: you’ll partner with the Education team, Sales, Customer Success, Product, Marketing, and Data to design and launch scalable initiatives grounded in audience insight, structured experimentation, clear storytelling, and thoughtful measurement.In this role, you will:Set the EDU program strategy. Define target outcomes by audience (student, teacher/faculty, admin) across K-12 and Higher Ed; map journeys from orientation to confident use.Design and deliver learning at scale. Build an ecosystem of content, experiences and distribution (guides, email sequences, development sessions, webinars, courses).Make it role-aware. Create age-appropriate student onboarding, teacher/faculty workflows, and admin enablement (policies, safeguards, reporting).Pilot and prove. Run experiments and pilots with clear hypotheses; measure adoption, behavior impact, and AI outcomes. Scale proven programs.Measure and iterate. Define success metrics, partner with Ops/Data to instrument dashboards, and run experiments (A/B tests, holdouts) to improve activation and ongoing use.Experiment and evolve to a constantly changing landscape by introducing new elements (like badges, credentials or advanced learning paths).What you’ll bring:10+ years in customer education, learning design, lifecycle/enablement, or EDU program leadership at an edtech or enterprise SaaS company, with meaningful K-12 and/or Higher Ed exposure.Outcome-oriented operator who sets targets, instruments programs, and communicates behavioral and business impact clearly.Track record building programs that drive measurable adoption and sustained use across different learner roles.Comfort switching between strategy and hands-on execution (you can map the journey and ship the assets).Clear, plain-spoken, and audience-aware communication.Data-informed judgment, using product and program signals to prioritize and iterate.You work well with a diverse cross-functional team, including with Customer Success, Product, Legal/Safety, Global Affairs in complex institutions.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Our Role We’re looking for a Solutions Consultant II to provide technical and subject matter expertise to some of the world’s most innovative, fast-growing companies. You will collaborate with our Sales team to close new business by developing a deep understanding of our clients’ business needs, whilst ensuring our existing customers maximize value by crafting AI-first strategies to be adopted by their entire organization. In other words, you will be responsible for guiding and supporting customers throughout their entire lifecycle with Ada, from their initial engagement as a prospect, through to implementation and their long-term success with our company and product.  About You 2+ years of strategy/management/technology consulting and/or pre-sales engineering experience. Working knowledge of APIs and a common understanding of SaaS platforms (e.g. Shopify, Salesforce, Zendesk, Hubspot, etc.) Excellent communication and presentation skills, with the ability to effectively explain technical concepts to non-technical audiences. Strong relationship building skills as you will be required to maintain and develop technical champions across the table. Experience building relationships with VP level stakeholders will be considered an asset. Technically and analytically curious, where you demonstrate the ability to be a perpetual learner and love to make new discoveries and improve the status quo. Reliable and resilient team player with a start-up mentality able to deliver on your commitments whilst managing multiple competing priorities in a fast-paced constantly-changing environment. Generative AI implementation experience will be considered a strong asset. Outcomes Lead discovery sessions with customers and prospects to uncover requirements and challenges and identify opportunities in their businesses. Utilize your knowledge of APIs and SaaS platforms to address technical questions and provide solutions. Deliver concise, compelling, value-based presentations (product demos, technical assessments, roadmaps etc.) to all levels of an organization, including C-suite (e.g. CTO, CMO). Build custom product demonstrations and sandboxes that capture the long-term value of Ada’s Automation-First strategy. Scope and design integrations into customers' existing technology stack. Support pre-sales meeting quarterly revenue goals through closing new business.  Support customers through their implementation and going live with our product. Support post-sales retaining and expanding existing client accounts by delivering quarterly business reviews and identifying upsell opportunities. Drive adoption and utilization of the platform with a focus on increasing automated resolutions for existing customers. Collaborate with Product Management, Engineering, and Marketing to continuously provide feedback and improve Ada’s products and marketing. #LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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Director of Analytics & Research📍 Houston, TX (In-Person) | Full-TimeWe are a newly established single-family office in Houston with a mission to generate superior long-term returns. Backed by a young principal with a long investment horizon, we combine a broad mandate with advanced analytics and AI-driven processes to transform how investments are researched, underwritten, and managed. Our team brings experience from top roles across private markets, hedge funds, commodity trading, and global asset management. We are hiring a Director of Analytics & Research to play a pivotal role in shaping our investment strategy and risk framework. This role is ideal for a hands-on leader who wants to innovate at the intersection of technology, research, and investing. This role is based in Houston, TX, and relocation assistance is available. Why Join Us?This is a unique opportunity to build and lead a function at the center of the investment process. You’ll work directly with the CIO, influence decision-making, and apply cutting-edge data science and technology to private market and opportunistic investments.What You’ll DoLead research on macroeconomic, geopolitical, and sectoral trends.Design and manage risk frameworks, including stress-testing.Build dashboards for portfolio monitoring and performance attribution.Oversee data collection and ensure consistency of research inputs.Partner with the investment team to integrate insights into deal evaluationPresent findings to the CIO and Investment CommitteeWhat We’re Looking For10+ years’ experience in research, strategy, consulting, or investment managementStrong background in financial markets and economics (private capital experience a plus)Interest in applying AI/data science to investment researchComfort with tools like Python, SQL, NLP models, LLMs, and visualization platformsEntrepreneurial, collaborative mindset with strong communication skillsAn advanced degree and/or CFA are preferred but not required.What We OfferCompetitive salary and benefits packageAnnual performance-based bonusEmployee share plan tied to portfolio performanceProfit-sharing opportunitiesA chance to be part of a high-achieving, entrepreneurial team at an early stage

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Note: This role with require you to work in APAC hours. Location: Bangalore  

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Los Angeles "Near UCLA" | Hybrid (Minimum 4 days in office)  |  Full Time  |  https://kizen.com About Us At Kizen, we’re engineering a more humane future where AI drives universal healthcare, more impactful work, world-class education, exceptional customer experiences, and — overall — a more fulfilling human experience. Kizen is on a mission to give every team member an AI Assistant - turning every company into an AI-company, every worker into an AI-Enhanced Worker, and every Process into an AI-optimized, continuously improving process. Kizen is the first GenAI enterprise application builder. Businesses of any size, within any industry can build AI assistants for complex jobs across healthcare, finance, and HR and modern enterprise applications - like CRMs, Workflow Automation, Real Time Dashboards, and Secure Portals in minutes and perfect them in an afternoon. Kizen helps teams systematically improve processes and business outcomes with data-driven insights and powerful automation with access to all the latest AI models. About the Role Shape the Future of AI at Kizen Are you ready to push the boundaries of what's possible with AI and backend systems? At Kizen, we're engineering intelligent systems that combine cutting-edge AI with robust backend architecture to revolutionize healthcare, redefine work-life balance, transform education, and elevate customer experiences. Our mission is to create technology that doesn't just work – it transforms how businesses operate. As we rapidly expand, we're seeking exceptional engineers who excel in both AI development and backend systems. This is your opportunity to be part of something transformative – to architect and build systems that set new benchmarks for what technology can achieve across industries. At Kizen, you'll join a brilliant, fun team tackling challenges that matter. We offer: The opportunity to work on groundbreaking AI technologies with real-world impact A startup culture that values innovation, ownership, and rapid iteration Regular opportunities to present your technical solutions to company leadership A supportive environment for professional growth and learning We're looking for a Principal AI Engineer to provide strategic feedback and direction for our engineering team as we bring our next-generation platform to the world. In this position, you'll architect, plan, and build sophisticated AI systems with collaborators seamlessly integrating with our backend infrastructure, focusing on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures. Key Responsibilities Lead the design and implementation of production-ready RAG systems that integrate seamlessly with our backend infrastructure using Django, Kafka, PostgreSQL, and Clickhouse Architect multi-agent AI systems that operate effectively within our platform's constraints and understand business value implications. Drive product strategy by providing accurate work estimations and technical roadmaps with minimal supervision. Design and implement sophisticated vector search solutions, including graph-based RAG systems Architect and build highly scalable LLM-powered systems that can handle enterprise-level workloads Lead LLM fine-tuning initiatives to customize models for specific business domains and use cases Design and implement user feedback systems to collect, analyze, and incorporate insights for continuous improvement Optimize LLM performance, cost, and reliability in production environments Establish MLOps best practices using platforms like Langfuse or LiteLLM to ensure robust model monitoring and evaluation Mentor and develop junior engineers in AI/ML best practices Collaborate with cross-functional teams to translate business requirements into technical solutions Lead system architecture decisions and technical direction for AI initiatives Evaluate emerging AI technologies for potential adoption Experience Required Qualifications Education and Experience Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field 8+ years of backend engineering experience with Django, Kafka, and PostgreSQL 4+ years of hands-on experience building and deploying machine learning systems Proven track record of implementing production RAG systems at scale  Strong experience in product management, including work estimation and roadmap planning Experience building solutions at scale with large enterprise data in healthcare, finance, or banking sectors. Technical Expertise Expert-level Python development skills with Django experience Deep understanding of distributed systems and message queuing using message broker systems (e.g., Kafka) Advanced PostgreSQL knowledge, including optimization for AI workloads Experience building and optimizing retrieval-augmented generation (RAG) systems Experience architecting and implementing multi-agent AI systems Knowledge of deep learning frameworks (PyTorch or TensorFlow) and NLP, particularly transformer architectures Experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes) Experience building solutions using pre-trained LLMs (OpenAI, Claude, Llama, etc.) Strong background in MLOps practices and tools, including platforms like Langfuse or LiteLLM Proficiency in writing clean, well-documented code and troubleshooting complex issues Experience in testing and validating products and communicating results with stakeholders ML/AI Experience Experience applying graph algorithms to machine learning problems Strong experience with modern NLP techniques and transformer architectures Knowledge of evaluation metrics for NLP system performance Solid foundation in probability theory and statistical inference Experience with statistical modeling and hypothesis testing Understanding of sampling methods and experimental design LLM Systems Expertise Proven experience designing and implementing scalable LLM-powered systems in production environments Deep understanding of LLM orchestration and optimization techniques for high-throughput applications Experience with prompt engineering, fine-tuning, and context window management for optimal LLM performance Demonstrated expertise in LLM fine-tuning methodologies, including RLHF, PEFT, and LoRA techniques Experience building data collection pipelines for LLM training and fine-tuning Knowledge of efficient usage strategies, cost optimization for LLM API consumption, and performance optimization of large-scale deployments. Experience implementing LLM caching mechanisms and vector store optimizations Expertise in designing fault-tolerant LLM architectures with appropriate fallback mechanisms Understanding of techniques to reduce latency in LLM-powered applications Knowledge of strategies for handling data privacy and security in LLM applications User Feedback and System Improvement Knowledge of model monitoring and evaluation techniques Experience designing and implementing robust user feedback collection systems for AI applications Knowledge of feedback aggregation and analysis techniques to identify patterns and improvement areas Experience building systems that leverage user feedback for continuous LLM improvement Understanding of human-in-the-loop approaches for refining AI system outputs Experience with A/B testing frameworks to evaluate AI system changes Ability to translate user feedback into actionable model improvements Experience implementing evaluation frameworks to measure AI system quality and performance Professional Skills Demonstrated ability to lead technical initiatives and architectural decisions Experience managing technical product roadmaps and providing accurate work estimations Strong problem-solving skills and ability to work independently on complex projects Strategic thinking ability to balance immediate solutions with long-term scalability Excellent collaboration skills when working with cross-functional teams Excellent written and verbal communication skills in English Driven, self-motivated, adaptable, empathetic, energetic, and detail-oriented Preferred Qualifications Experience with graph-based RAG systems Contributions to open-source projects in backend or AI domains Experience with streaming data processing at scale Deep interest in emerging AI technologies and their practical applications Strong mentoring capabilities to guide and develop team members Ability to work in our Los Angeles or Austin office Why Kizen We’re a fast-growing company that values innovation, growth, and continuous improvement. By joining Kizen, you’ll play a pivotal role in shaping the future of the company while enjoying a supportive, dynamic, and collaborative workplace. You’ll have opportunities for professional development, impact, and career advancement. What We Offer Hybrid Work Model Career Growth Opportunities Engaging Work Culture Top-Tier Compensation Equity Package Healthcare Coverage Professional Development Stipends PTO  Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.  The base salary range for this position is $250,000-$350,000. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages. If you’re excited about creating impact experiences and contributing to a fast-paced, people-focused team, we’d love to meet you! OTE - $312,000-$412,000KCompensation Range$250,000—$412,000 USD

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top ranking startups at https://leanaileaderboard.com/.About the RoleJoin as a Customer Success Analyst and help build the systems and insights that power world-class customer experiences all while working with a fast-moving SF tech startup.You'll work directly with the founders in a high-ownership environment, using data to uncover customer trends, optimize onboarding and support processes, and drive retention and expansion strategies. This role is ideal for self-starters eager to grow, learn fast, and contribute to a category-defining AI platform.Key ResponsibilitiesRevenue Operations:Coordinate with Sales to close compliance tasks (e.g., Vendor Agreements, Security Questionnaires).Streamline processes to ensure smooth deal closures and compliance adherence.Data Analytics:Build and maintain dashboards/reports in tools like Mixpanel, Stripe and HubSpot.Analyze data to derive insights, requiring strong numerical and data-handling skills.You Might Thrive If YouAt least 1 year of experience in a customer-facing or customer success role.You’re a self-starter who thrives in fast-paced, dynamic environments and takes full ownership of your work — especially when it impacts the customer experience.You're comfortable working with tools like Excel, Google Sheets, or CRM platforms (e.g., HubSpot, Salesforce), and may have some exposure to SQL or Python for analyzing customer trends and metrics.You’ve shown strong communication, organization, and problem-solving skills through team projects, student leadership, or client-facing experiences.You’re curious about AI and emerging technologies, with exposure through coursework, personal projects, or self-driven learning — and you're excited to help customers succeed in this space.Job DetailsJob Type: Accepting both full-time (40-50 hr/week) & part-time (20-30 hr/week). Onsite with flexible hours.Base Salary: Competitive hourly rateLocation: Redwood City, CA, US.US Visas: Sponsors CPT for enrolled university studentsInterview ProcessIntroductory Call (30 min): Virtual discussion with a department lead to explore your background and alignment with Retell AI’s mission.Virtual/Onsite Interviews (1 hrs): Conducted in Redwood City or virtually, with two rounds:Data Analytics: Demonstrate skills in data analysis.Strategy & Problem-Solving: Tackle a real-world scenario to test your strategizing & reasoning skills.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, driving operational excellence and contributing to a transformative AI platform.

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. What We're Looking For:We're looking for an Applied AI Engineer with deep experience deploying emerging AI technology in production and a demonstrated interest in security. You will have a major impact in how we add value to our customers by using emerging AI technologies and exposing their vulnerabilities. You will help design and implement AI solutions—from crafting components for offensive security operations to contributing to our autonomous offensive testing capabilities—that surface vulnerabilities across the AI application stack and outputs, partnering closely with senior engineers to translate research into reliable, scalable systems. This position requires practical expertise in creating, implementing, launching, machine learning systems and an interest in attacking them.Essential FunctionsBuild sophisticated AI systems capable of discovering vulnerabilities and streamlining penetration testing methodologiesResearch and implement AI-driven vulnerability detection and exploitation methodsAutomate exploitation workflows using AI technologiesLead complete development lifecycles for AI features from concept through deploymentDesign and implement advanced testing capabilities that detect vulnerabilities in AI-native applicationsResearch and target emerging attack vectors specific to applications developed with AI and implement detection methodsImplement scalable solutions that can use AI to exploit traditional CVEs, credential-based attack paths, and data pilfering vectorsGuide technical conversations, assess code quality, and facilitate design meetings while sharing knowledge to enhance team capabilitiesSupport and guide less experienced team members, fostering their professional developmentCompetencies/Requirements3+ years proven track record building and deploying AI/ML solutions in live environmentsExpert-level Python programming abilitiesYou’ve shipped and maintained AI/ML systems, not just built prototypes, and ideally in multiple domainsDemonstrated interest in cybersecurity and penetration testingKnowledge of AI frameworks and machine learning libraries (such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and LangChain)Experience with ML data preprocessing techniques including normalization, feature engineering, and dataset preparation for model training and fine tuningExperience with cloud AI platforms such as AWS Bedrock, AWS SageMaker, and Azure AI, with ability to implement and optimize solutions across environmentsStrong analytical skills and ability to clearly communicate complex security conceptsComprehensive understanding of various database technologies, including relational and non-relational systemsDesired/Nice to HaveWe don’t expect these, but they elevate your application to “unicorn” status.Background in training specialized machine learning models for security purposesExperience with and understanding of AI-specific vulnerabilitiesBackground in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligencePrevious experience analyzing security using large language models, conducting penetration testingExperience with AI red teaming or learning model vulnerabilitiesDemonstrated examples of exploiting AI-specific vulnerabilitiesBackground in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligencePrevious experience analyzing security using large language models, conducting penetration testing enhanced by AI technologies, and researching machine learning weaknesses and countermeasuresExpectations:Outstanding problem-solving aptitude, a “hacker mindset”.Be self-motivated and highly energetic to have the ability to operate effectively with limited supervision and guidance.Strong technical documentation and communication skills.Ability to manage concurrent initiatives and use effective judgment in prioritization and time management.Excellent analytical/problem solving ability.What makes you stand out:Elevate your application to “unicorn” status:Experience identifying attack paths across full-stack environmentsBackground in application security testing, penetration testing, or offensive securityUnderstanding of web application security fundamentalsCertification(s) demonstrating cybersecurity expertise such as OSCP, CISSP, GPEN, Security+, LPT, or CEH. Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a Glance As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems. You will work deeply on problems such as: classifying valid vs. invalid signals; taking accurate measurements from valid signals; and identifying damage mechanisms such as cracks, corrosion, or laminations across a large collection of signals. Gecko owns a growing repository of mechanical integrity data, including large volumes of ultrasonic, imagery, and other data points concerning the integrity of critical infrastructure assets worldwide.Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time. This is a chance to be one of the first dedicated engineers in an area we expect to grow significantly over the next few years, within a space that is ripe for innovation and solving problems in a way they haven’t been attempted before.You will be a key member of our advanced technology team, responsible for pioneering novel machine learning models that interpret complex sensor data from our robotic inspection platforms. This hybrid role bridges the gap between state-of-the-art research and practical engineering.What you will doDesign, develop, and deploy sophisticated machine learning models (supervised and unsupervised) to analyze complex sensor data for non-destructive evaluation (NDE).Lead research and implementation of next-generation, physics-based machine learning models that can interface with or replace traditional simulation methods like Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD).Process and interpret large-scale, unconventional datasets, including raw ultrasonic A-scans and infrared thermal images, to extract meaningful insights.Collaborate with robotics, software, and data engineering teams to integrate ML solutions and algorithms into our production data platform.Stay at the forefront of academic and industry advancements in machine learning, signal processing, and physics-based modeling to drive innovation.Own the end-to-end lifecycle of ML projects, from problem formulation and data exploration and curation to model deployment, monitoring, and iteration.Technologies We UsePython, PyTorch, Numpy, Scipy, Pandas, Scikit-learnDocker, K8s, GCP, Cloud Run, Batch, CollabUltrasonic DSPWe use a variety of technologies, but our Software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. This is a non-exhaustive list and we are tech agnostic in our interview process, so we encourage you to apply regardless of your background.About YouRequired Skills Bachelor’s degree in Computer Science or a closely related field, or equivalent practical experience.5+ years of professional engineering experience, with at least 3+ years in a dedicated machine learning role.Strong practical knowledge of machine learning algorithms and the ability to read and implement relevant research papers, especially for time-series analysis and anomaly detection in signal data.Proficiency in Python and at least one major machine learning framework (e.g., PyTorch, TensorFlow), with experience deploying at least one model into a production environment.Familiarity with MLOps concepts for managing the model lifecycle.A strong sense of intellectual curiosity, with the desire to dive deep into exploratory projects alongside production-ready deployments.Preference for projects with high ownership and the ability to work effectively both autonomously and collaboratively.Desire to have a high impact at a fast-moving startup as a key contributor on a new and growing team.Exceptional communication skills and a commitment to receiving and providing continuous feedback.Deep theoretical understanding and applied expertise in modern machine learning, including deep learning architectures (e.g., CNNs, Transformers).Demonstrated ability to tackle complex, ambiguous problems and work with noisy, real-world data.Preferred Skills Experience with PyTorch.Experience with MLOps tools such as MLFlow.A strong background in digital signal processing (DSP).Experience setting up and interpreting the results of FEA/ CFD simulations and the like.Experience working with unconventional sensor data formats beyond standard images or text.Experience or a keen research interest in the intersection of machine learning and physical sciences.Familiarity with research related to ultrasound A-scans, such as time-series analysis, wavelet transforms, Fourier analysis, or acoustic modeling.Familiarity with research related to infrared imagery, such as radiometry, thermal modeling, or multispectral data fusion.Familiarity with applying machine learning to the simulation of physical phenomena, including research areas such as physics-informed neural networks (PINNs), surrogate modeling for traditional simulators (e.g., FEA/CFD), or prognostic and health management (PHM) for modeling material degradation and damage, neural operators, differentiable physics and the likes.Experience with 3D deep learning for processing point cloud data, including tasks like 3D semantic segmentation. Familiarity with modern neural rendering techniques like Neural Radiance Fields (NeRFs) or 3D Gaussian Splatting and knowledge of generative models for inverse CAD to automatically create structured CAD models from 3D scans.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.We are seeking an Engineering Director to lead our Technical Infrastructure organization, spanning Developer Infrastructure, IT, HPC platforms, and EDA environments. In this role, you will unify and scale the teams that power developer productivity, corporate IT, high-performance compute clusters, and the EDA workflows critical to silicon design. You will partner closely with engineering leads, product teams, hardware organizations, and executive leadership to deliver reliable, secure, and scalable infrastructure that enables innovation in open source AI software and custom high-performance hardware. Success in this role requires driving alignment and progress across multiple teams and functions. This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Experienced leader of large, multi-disciplinary engineering teams. Background leading Developer Infrastructure, IT, HPC, EDA or similar environments. Skilled at scaling organizations and building strong leadership layers. Known for working effectively across teams and functions to achieve shared goals. Able to balance strategic vision with hands-on technical execution.   What We Need Lead and grow the DevInfra, IT, HPC, and EDA infrastructure teams under a unified strategy. Define roadmaps for CI/CD, observability, orchestration, enterprise IT systems, and compute platforms. Build and mentor leaders within each team, ensuring accountability and clarity. Drive operational excellence, security, and reliability across developer, HPC, and EDA workflows. Partner cross-functionally with engineering, hardware, product, and operations leaders to align infrastructure investments with business goals   What You Will Learn How to build and scale infrastructure at the cutting edge of AI software and custom silicon. How to drive alignment and momentum across diverse teams to deliver breakthrough results. Firsthand exposure to open source AI software, advanced chip design workflows, and massive distributed compute systems.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Overview:As a Senior Backend Engineer in Aleph Alpha’s Financial Services & Insurance (FSI) department, you’ll design and build the core systems that power our AI-driven financial platforms. You’ll create scalable, secure, and reliable backend solutions to support applications that address major challenges in the financial industry, ensuring they meet strict regulatory and performance standards.If you're passionate about working with emerging technologies and creating impactful solutions, this is your opportunity to make a contribution.Your responsibilities:Lead the design, development, and deployment of innovative products or features from conception to delivery.Collaborate closely with cross-functional teams including product managers, designers, and other developers to create technical solutions that align with project requirements.Architect scalable software systems for both cloud and on-premise environments.Conduct thorough code reviews and provide mentorship to team members.Promote high-quality code practices, system reliability, and DevOps strategies to support mission-critical applications.Your profile:Strong experience working with Python.Strong foundation in systems thinking, software engineering, and architecture design.Experience building and shipping scalable software solutions.Experience working with data intensive applications and supporting the data flow (data orchestration)Proficiency in cloud platforms (AWS, Google Cloud) and containerization (Docker, Kubernetes).Strong problem-solving skills and a collaborative approach to working in fast-paced environments.Passion for staying up-to-date with emerging technologies and applying them to drive innovation.Previous exposure to machine learning (ML) is a plus.What you can expect from us:Become part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticket or JobradBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option Plan