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Job DescriptionSenior SRE Engineer As our first SRE hire, we are seeking someone to build out Operant's SRE roadmap and functions that help keep our platforms and services resilient and secure. If you are excited by the idea of being an early engineer at a startup that is poised to lead the next wave of application security products, we would love to hear from you. Who We Are: We're in business to secure the modern world. Operant's unique technology solves several of the biggest problems in modern cybersecurity - protecting applications across every layer of the cloud native stack from infra to APIs, and data to AI. We are passionate about bringing state of the art technological innovations from Operating Systems/Distributed Systems/AI to the world of cloud native security, and building a product that is ready to take on the rising complexity and massive scale of today's cloud native applications. Having already been named as a vendor in Gartner's market guide for API Protection and Kubernetes Runtime Security as well as Forrester's Zero Trust landscape all in the first half of 2024, the sky's the limit for leading this growing market. ️‍Responsibilities: Build and lead the Devops/SRE functions for the company's product which include activities around - • Monitoring of the products and services for availability, security, reliability, and scale, • Document and codify best practices around operational behavior of services, • Build the infrastructure that supports Incident triaging, troubleshooting, remediations, and post mortems, • Build, manage CI/CD infra for dev, staging, production environments, • Monitor and maintain security best practices within code development, • Track and perform tasks towards maintenance of annual SOC2 compliance controls, • Create and communicate on-call schedules and processes to the broader engineering teams, • Document and communicate design decisions with the broader team to support a remote, asynchronous work culture, • Function independently while being able to make technical choices in the presence of unknowns, • Collaborate cross-functionally with other engineering leaders, • Take active interest in understanding customer problems while building features in an iterative manner, • Adapt SRE practices and processes quickly to scale with a fast growing startup and productQualifications:, • 3+ years experience of being in an active hands-on SRE role in a fast paced engineering org building SaaS/cloud-native products and services, • Hands-on experience with Kubernetes, Golang, and Python, • Knowledge of major cloud providers (AWS, GCP, Azure) and their automation toolchains, • Excellent communication skills, and the ability to work independently as part of a remote team, • BS, MS, or Ph.D. in Computer Science, Computer Engineering, Information Security, or similar equivalent industry experience is preferredWork Hours & Location:, • Operant is a remote-first company and welcomes qualified applicants from across the US and Canada., • Medical, dental and vision insurance, • Life insurance, • 401k, • Paid holidays, • Generous PTO, • Stock options

Job DescriptionAbout the Company Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers. * Company type: Publicly traded * Industry: AI/ML, Cloud Computing, Infrastructure-as-Code * Candidate Location: Remote U.S. Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services. The Opportunity We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers. What You'll Do * Architect and optimize distributed training and inference systems for large-scale AI models * Design and deliver customer-focused solutions that maximize performance and business value * Lead the transition of ML pipelines from POC to scalable production systems * Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals * Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices * Provide technical leadership and mentor teams on AI infrastructure and deployment strategies * Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps What You Bring * 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles * Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments * Demonstrated success delivering ML products, scaling from POC to production * Deep knowledge of ML frameworks like PyTorch and JAX * Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband) * Exceptional communication skills to engage both technical teams and business stakeholders * Legal authorization to work in the United States on a full-time basis without sponsorship Preferred Technical Skills * Programming Languages: Python, Go, Java, C++ * Infrastructure as Code (IaC): Terraform, Ansible * Orchestration: Kubernetes (K8s), Slurm * DevOps Tools: Git, Docker, Helm * Big Data Frameworks: Spark, Kafka, Hadoop * Databases: SQL, NoSQL, and vector databases * ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn Why Join? * Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location) * Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families * 401(k) plan with a 4% match program * Stock options plan * Flexible remote work environment * Company-paid short-term, long-term disability, and life insurance coverage * 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers * Up to $85/month for mobile and internet * Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs * Be part of a team that operates one of the most powerful commercially available supercomputers * Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings Interviewing Process * Level 1 - Interview with Talent Acquisition * Level 2 - Interview with the Hiring Manager * Level 3 - Technical Assessment * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

Job DescriptionWe're assisting a well-funded startup in SF with their search for a Founding Mobile Engineer. Their product is an investment platform that provides consumers with access to the fixed income asset class.Tech Stack: Flutter, Typescript, Python, AWSWhat you'll do: • Develop and maintain the core frontend architecture for the mobile platform, • Collaborate closely with the team to build intuitive and high-quality user experiences, • Implement design principles to ensure a seamless app experience with high performance and responsiveness, • Push the boundaries of frontend engineering as we build new user experiences for wealth management using AI, • Build the foundational modules such that we can scale development in the futureWhat you'll bring:, • 2+ years of experience Mobile Development, • Proven experience as a mobile engineer, ideally with a focus on building consumer-facing apps, • Strong problem-solving skills and understanding of UI/UX principles, • Experience with performance and optimization problems and eagerness to both diagnose and prevent these problems, • Comfortable with going from 0 to 1

Job Description Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home. By putting the needs of patients and physicians first, our personalized digital devices, which are designed for function, comfort, and ease-of-use, aim to redefine the paradigm of care for these patients. Our first product, a wearable patch defibrillator, is initially targeted at treating the more than 500,000 patients in the US with an elevated temporary risk of potentially experiencing a lethal heart rhythm. Headquartered in San Francisco, our funders include Third Rock Ventures, Google Ventures, Deerfield Healthcare, Qiming Venture Partners USA, Cormorant Asset Management, and Invus Opportunities. SUMMARY OF ROLE: Imagine building algorithms that directly save lives. At Element Science, we're on a mission to change how sudden cardiac events are detected, treated, and prevented, starting with our breakthrough wearable technology. We are looking for a hands-on Principal Algorithms & Data Science Engineer to drive the development of algorithms for our life-saving wearable medical devices and our Cloud data services. These algorithms span a wide range of product facets, from machine learning algorithms that drive the core life-saving functionality of our wearable devices to field data analysis algorithms that provide critical insight into product usage, patient experience, potential improvements, and new products. The ideal candidate thrives in a commercial start-up environment that is scaling rapidly, can help drive strategic planning of algorithm-related business needs, and can execute algorithm design, development, and testing. This is a hybrid role based in our Potrero Hill, San Francisco, California office. RESPONSIBILITIES: • Lead the ideation, design, development, and testing of algorithms used to control life-saving wearable medical devices., • Lead the ideation, design, development, and testing of algorithms used to analyze data uploaded from wearable devices to the Cloud., • Contribute to strategic planning of product improvements, new product concepts, and algorithm development needs across the business., • Define technical content for product design including design requirements and specifications, verification and validation plans, protocols, and reports, and risk management files., • Perform hands-on algorithm development, including training and testing, from exploratory engineering testing and formal validation testing. Author test protocols and reports and obtain cross-functional alignment., • Collaborate with the Software Engineering and Information Technology teams to define Cloud-based data architectures for wearable device data and business operations data, including storage, transformations, and interfaces with machine learning algorithms., • Drive the implementation of scalable methods, processes, and tools that accelerate machine learning algorithm development and testing., • Provide algorithm and data science support during clinical studies and commercial release of new products., • Bachelor's degree in CS, EE, Physics, Math, or related field; advanced degree preferred., • 8-12 years minimum of relevant industry experience. Experience in medical device industry preferred., • Strong understanding of machine learning concepts such as model selection, data selection, training methods, etc., • Strong experience applying advanced mathematical techniques (e.g., linear algebra, statistics, gradient descent, etc.) to solve engineering problems., • Experience in leading algorithms development from feasibility through product commercialization., • Excellent coding skills using Python. Familiarity with MATLAB preferred. Familiarity with C/C++ a plus., • Experience leading projects within a cross-functional team environment., • Experience with physiological signals such as ECG, PPG, EEG, etc. a plus., • Experience with digital signal processing a plus., • Experience with AWS Cloud tools for large data processing a plus., • Experience with predictive analysis in healthcare a plus. Element Science offers a competitive salary and benefits package including, but not limited to: • Stock Options, • 90% employer-paid medical, dental, and vision insurance, • Company-paid Basic Life Insurance, • 401(k) retirement plan (Traditional and Roth), • Competitive Paid Time Off, • Paid Holidays, • FSA (Flexible Spending Accounts), • HSA (Health Savings Account), • Pay range: $200,000 - $212,000 Element Science is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors prohibited by local, state, or federal law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. We are not able to sponsor individuals for employment visas for this job. At this time, we are unable to offer relocation assistance at Element Science.

Job Description Lead Django Engineer (Remote-Hybrid) Full-time $150000 - 190000 /per year Were on a mission to revolutionize real-time communication. If you're excited by building world-class systems, solving complex technical challenges, and working on products that impact millions, this role is for you. Based in downtown San Francisco near Union Square, our fast-growing team is delivering seamless, high-quality communication experiences to users around the world. Join a product-driven company where engineers have a voice, customers are delighted, and innovation happens daily. What You'll Do: * Design, develop, and maintain robust backend services and APIs used by global clients * Collaborate closely with product and frontend teams to ensure seamless integration * Scale backend infrastructure to support rapid growth and high availability * Contribute to roadmap planning, release management, and technical direction * Mentor and guide junior team members as we grow What Were Looking For: * Strong experience with Django (required) * Proficiency in Python and RESTful APIs * Background in test-driven development * Hands-on experience with databases and infrastructure: MySQL, Cassandra, Memcache, Redis, AWS * Comfortable executing in a fast-paced, collaborative startup environment * Prior team leadership or management experience is a plus What You'll Get: * Competitive compensation and benefits * Hybrid work setup (office + remote flexibility) * A collaborative, fun, and fast-moving culture * Room to grow personally and professionally Ready to build something meaningful with a team that cares about quality and impact? Apply now and let's build the future of communication together.

Job Description ASIC Design Engineer Responsibilities: • Define and bring up FPGA platforms for pre-silicon validation and software development, • Map ASIC RTL to FGPA while minimizing code base differences, • Create and execute test plans for validating SoC functionality and performance, • Resolve challenging system level issues that span multiple disciplines, • Design logic starting from specification or high level feature description Requirements: • Minimum of 5 years of relevant experience., • Scripting or programming experience in Python or C/C++, • Ability to write and analyze the completeness of constraints, • Familiarity with lab equipment including logic analyzers, oscilloscopes, and multimeters, • Strong analytical and debugging skills, • BS in Electrical Engineering or equivalent required, MS preferred Nice to Have: • Familiarity with Xilinx FPGAs and Vivado tool chain, • Experience with validating and debugging low-power wireless systems, • Understanding of common interfaces and bus protocols (e.g. I2C, SPI, AHB), • Knowledge of wireless protocols (e.g. Bluetooth Low Energy)

Job Description Job Overview The Engineering Manager/Senior Engineering Manager – Electrolyte Product leads our Electrolyte Product team, responsible for the development, scale-up, and implementation of next-generation electrolyte systems for advanced lithium-ion batteries. This high-impact role bridges R&D, electrochemistry, manufacturing, and productization. You’ll guide a multidisciplinary team to turn cutting-edge formulations into manufacturable, high-performance products that meet safety, cost, and performance specifications. You’ll drive the electrolyte product roadmap, executing across R&D, cell design, supply chain, and production. The ideal candidate brings deep expertise in Li-ion electrolytes—including solvents, salts, additives, and interfaces—and hands-on experience taking formulations from lab to production. Strong technical leadership and customer engagement skills are essential. Key Responsibilities • Bring deep electrolyte formulation expertise to inform electrolyte optimization to meet customer demands., • Drive execution of new electrolyte development projects, ensuring alignment across R&D, manufacturing, and commercial teams from prototype through launch., • Own and coordinate customer-specific testing programs, collaborating with both government and private sector clients to meet technical specifications and timelines., • Oversee electrochemical testing of battery cells for internal validation of electrolyte products., • Lead shipping processes for electrolytes, including documentation, training, and packaging risk mitigation., • Manage electrolyte product quality assurance processes in conjunction with the manufacturing team, ensuring data accuracy, reliability, and compliance prior to shipment., • Lead, mentor, and develop a high-performing engineering team; support career growth and performance through regular 1:1s, feedback, and biannual reviews. Required Qualifications • B.S. in Engineering, Physics, Chemistry, or a related technical field., • Minimum 10 years of experience related to Li-ion electrolyte formulation with strong knowledge of relevant solvent/salt systems and functional additives., • Demonstrated experience leading and growing technical teams in a fast-paced environment., • Proven ability to interface with customers and present technical concepts to varied audiences., • Experience managing complex, multi-stakeholder projects involving engineering, R&D, and operations., • Familiarity with battery cyclers, safety testing tools, and lab instrumentation., • Familiarity with chemical characterization tools including ICP-MS, UV-Vis, GC-MS, and more, • Proficiency with project management and collaboration tools (e.g., Asana, Notion, Trello)., • Excellent communication, organizational, and leadership skills. Preferred Qualifications • M.S. or Ph.D. in a relevant technical discipline., • Experience in both early-stage R&D and product scale-up., • Knowledge of regulatory requirements for electrolyte shipment., • Experience with polymers, polymer electrolytes, or solid state electrolytes, • Competitive salary and equity compensation commensurate with experience. Expected salary range is $160,000 to $220,000, • 15 Vacation Days, 10+ Holidays, Sick time off, • Full medical, dental, and vision coverage for team members, 60% coverage for dependents, • 401k with match, • Paid parental leave with flexible return-to-work policy, • Diverse and inclusive work environment

Job Description This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is disrupting the legal profession around the globe The Senior Customer Solutions Engineer role offers a unique opportunity to work across Sales, Product and Customer Success, accelerating our customers’ technical teams ability to get connected and unlock the value of Luminance. This role is dedicated to providing a market-leading technical experience for Enterprise customers, enabling them to integrate with our platform faster and with less effort. The ideal candidate will possess a blend of customer-focused skills and a solution mindset, helping customers understand how best to integrate the solutions we offer to accelerate their success. You will get hands-on with our platform and Workflow engine, implementing solutions that unlock seamless legal workflows across a customer’s technology estate. A Senior Customer Solutions Engineer will acquire in-depth knowledge of our AI platform and how it can be effectively integrated into various customer systems. They will work closely with prospective and existing customers to provide expert advice and support, ensuring a seamless and efficient integration process. Collaborating with Account Executives, Product Specialists and Customer Success Managers, the Customer Solutions Engineer will play a crucial role in converting prospects into satisfied, long-term customers. We offer a generous £2000 Learning budget to each employee. We are committed to your growth as we grow too. Responsibilities • Collaborate with Account Executives, Product Specialists and Customer Success Managers to deliver effortless technical experiences., • Act as a technical expert on Luminance’s platform, supporting the sales team in converting prospects into customers by highlighting integration benefits and our solutions for making integration seamless., • Understand individual use cases and integration requirements, advising customers on the best solutions to achieve success quickly and identifying opportunities to iterate on what we provide., • Get hands-on and build integrations for our customer base, ensuring we create seamless workflows across business platforms/applications such as Salesforce, ServiceNow and Slack., • Be the key point of contact for managing integration issues and challenges, • Develop reusable toolkits, APIs, SDKs, and enablement resources to enhance the developer experience to facilitate faster integration., • Create and maintain comprehensive customer-facing API documentation and other technical resources such as Reference Architectures to support developers effectively., • Work with Luminance Support and Technical Operations teams to coordinate and resolve any technical issues for customers., • Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a related technical field, with a 2:1 or above (UK) or GPA of 3.5 or above (US)., • At least 3-years at a SaaS vendor, preferably in the AI and/or Cybersecurity space, • Strong technical skills with experience in software development, system integration, and creating customer-facing developer resources such APIs, SDKs and documentation., • Experience of Full Stack Web development and Cloud Architecture, • Demonstrable Experience with JavaScript, NodeJS, Python or equivalent frameworks/languages, • Excellent interpersonal and communication skills, both verbal and written., • Articulate, charismatic, and confident in a customer-facing role, with the ability to present technical information clearly to individuals with varying degrees of knowledge., • Highly detail-oriented with a problem-solving attitude., • Ability to work in an innovative and fast-paced environment while delivering to deadlines., • Organized with excellent time management skills and the ability to prioritize effectively., • Prior experience in a customer-facing technical team, focussed on collaborating with developer/technical personas

Job Description Blue Matter is a rapidly growing management consultancy focused in the biopharmaceutical industry. We partner with our clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Our project types include providing decision support through insights and analytics for new product planning, launch strategy, portfolio / disease area strategy, and organizational strategy / change management. Most of our work is in specialty therapeutics, with oncology and rare diseases a specific area of expertise. We have a unique entrepreneurial culture and invest in building Blue Matter as the best place to work for our team. We have offices in NY, San Francisco, Boston, London, Zurich, Mumbai & Gurgaon. As a Consultant / Senior Consultant, you will work across Blue Matter as a functional expert, playing a key role in identifying analytical solutions to complex client needs. Primary Responsibilities As a key member of cross-functional client facing teams, develop and execute project plans to support initiatives that include, but are not limited to: * Design and implement technology solutions to support commercial data and analytics for life sciences companies * Utilize cloud-service providers i.e., AWS, Azure, or GCP (e.g., S3, EC2, Lambda) to build scalable solutions. * Innovate in product launch analytics, drug discovery, patient analytics, and data operations using Gen AI. * Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews. * Query and analyze data in warehouse solutions (e.g., Snowflake, Redshift, Databricks) to uncover actionable insights. * Design advanced dashboards and reports using Power BI, Tableau, or Sigma for client-ready insights. * Investigate MDM processes to resolve issues and meet client needs, automate operational process using Gen AI * Contribute to Blue Matter’s Twine platform rollout in client environments. * Address client questions, gather requirements, and deliver solutions aligned with business goals. * Ensure project success through effective collaboration and meeting deadlines using agile delivery model. * Support internal initiatives, focusing on Gen AI and healthcare analytics. Desired Experience and Skills * Expertise in data engineering/analytics/Gen AI application development for pharmaceutical datasets. * Expertise in SQL, Python and databases (e.g., MySQL, PostgreSQL, SnowSQL). * Skilled in data warehouse technologies (e.g., Snowflake, Redshift, Databricks) and data pipeline tools (e.g., Airflow, dbt). * Experienced with cloud platforms (AWS, Azure, GCP) and services (e.g., S3, EC2, Lambda). * Strong knowledge of MDM principles. * Familiar with back-end (e.g., Python/Django, Java/Spring Boot) and front-end technologies (e.g., React.js, HTML5/CSS3). * Proficient in API development (RESTful/GraphQL) and version control (e.g., Git). * Experience with reporting tools (e.g., Power BI, Tableau, Sigma). * Knowledge of US pharma datasets and healthcare concepts (e.g., coverage, payment, pricing). * Strong problem-solving, communication, and client-facing skills. * Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet). * Ability to translate raw data analysis into impactful client presentations with actionable insights * Excellent communication and power point presentation skills (internal and client facing) Preferred Qualifications: * Advanced degree(s) (PhD, MD, MBA, or MS) * 4 years of quantitative analytical experience 4+ years (Consultant) or 6+ years (Senior Consultant) in data engineering/analytics, including 1+ (Consultant) or 2+ (Senior Consultant) years in client-facing roles * Demonstrated ability to integrate business and industry knowledge in developing creative solutions * Passion for Generative AI in life sciences applications Compensation: Base salary range: $120,000 - $190,000 per year. Generous incentive compensation structure. Benefits Package: * 401k - generous employer match with immediate vesting and financial planning resources * Comprehensive medical, dental and vision coverage options effective day 1 of employment * Flexible spending account (FSA) or Health Savings Account (HSA) * Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options * Paid parental leave for all new parents * Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually) * Employee Assistance Program * Generous paid time off including vacation, sick days, floating and company holidays Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, ancestry, age (40 and over), sex (including gender identity, sexual orientation and pregnancy), national origin, disability, marital status, parental status, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law. 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Job DescriptionBuild the context + orchestration layer for AI‑first revenue software Why Revic I’m Hussain, founder at Revic. We’re building a collective intelligence layer for revenue teams—connecting messy, real‑world data into context that AI agents can learn from and act on autonomously. The goal: replace meta‑work with action that compounds revenue per rep—less digging through data and dashboards, more time moving pipeline. If you’re entrepreneurial and want to help define what AI‑native software looks like—how data becomes context, how agents plan and act, and how “chat” turns into outcomes—you’ll like building here. We ship in tight loops, learn in public, and measure by customer impact. Backed by SYN Ventures, we're working with customers like BigID and Modern Health. If this work gets you excited—and you want to leave a mark—let’s talk. What you’ll do * Create the collective memory. Ingest and unify data from many sources (CRM and far beyond) into a semi‑structured context graph that captures what leads to winning deals—modeled at multiple levels with strong tenant isolation. * Orchestrate agentic systems. Design planner/executor patterns, tools, and policies (including MCP‑style interfaces) that turn context into content and then into actions. Define simple eval harnesses to measure quality. * Deliver where users work. Expose capabilities through native surfaces (apps, chat, and integrations) in tight loops with product and GTM—reducing context switches and meta‑work. * Prove outcomes. With product and customers, define success metrics (e.g. tasks auto‑completed, adoption/retention, pipeline lift; keep latency in check) and wire observability so we can ship → learn → iterate quickly. * Balance cost & reliability. Tune accuracy, latency, and cost for agent runs and retrieval; design fallbacks and safeguards that keep the system dependable under real‑world load. What you’ll bring * Owner/builder mindset with product taste — you frame problems, choose the simplest path, and own outcomes. * 4+ years building & owning backend/platform systems end-to-end, with 0→1 wins and measurable business impact. * Curious by default; comfortable taking smart risks and turning fuzzy problems into shipped outcomes. * You talk in terms of impact and trade-offs; decide with ~70% info; turn ambiguity into simple, testable systems. * Experience stitching messy, multi‑source data into something a product can reason over; strong instincts for reliability, privacy, and multi‑tenant boundaries. * Able to hit the ground running with Python and standing up cloud infrastructure. * Nice to have: exposure to agent orchestration/planning, retrieval/graph‑shaped context, eval frameworks, and distributed systems at scale. How we work * Outcome‑first. We anchor on the seller’s job; stay close to customers; success = adoption, pipeline quality, time‑to‑value. * Ship small, learn fast. Start simple; instrument; iterate with “sniff tests.” * High trust, high ownership. Own problems end‑to‑end and make product‑level decisions with the team. Our stack We build with: Python, FastAPI/GraphQL, PostgreSQL/DynamoDB, AWS, Kubernetes, Pulumi, Spark/Databricks, and event‑driven architectures — plus React for product surfaces. Familiarity helps, but isn’t required. Logistics & offer * Base salary: $150–$200k (based on experience) * Equity: meaningful ownership in a fast-growing company * Benefits: health, dental, vision * Location: Hybrid San Francisco, New York City, Vancouver — 3 days in‑office, 2 remote * Team: small, senior; big surface area and ownership

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an experienced Backend Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products. Tech Stack: Python | PostgreSQL | DynamoDB | Redis | FastAPI Responsibilities • Build scalable systems that ingest and process data from the web, files, and other sources., • Optimize interfaces that interact with databases and caching systems., • Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements., • Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems., • Manage a complex orchestration system with many moving parts and interfaces., • Strong experience with Python, • Strong experience with databases and caching, • Experience with AWS cloud infrastructure at scale, • Experience working with high-scale data and non-deterministic systems like LLMs Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job Description#TeamNextdoor Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments, and own complex analysis to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make As a Data Scientist on the Core Product and Engagement team, you will partner with Analytics Engineers to execute CP data foundation roadmaps, collaborate with our cross-functional teams to develop and execute key ecosystem roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team. We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights. Successful candidates will exhibit technical acumen, product sense and business savviness and be enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. Your responsibilities will include: • Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups, • Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team, • Build scalable metrics and dashboards to inform product strategy, • Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations), • Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow, • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises, • Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values, • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • 7+ years of data science and product analytics experience, • BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc., • Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python, • Experience in designing trustworthy experimentation and analyzing complex product a/b testing results, • Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports, • Experience developing and executing on key ecosystems, understanding roadmaps, and building new capabilities (e.g., customer segment framework), • Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn, • Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives and compile compelling narratives, • Ability to solve ambiguous business problems with structured analytics framework, • Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for San Francisco, CA area is expected to range from $160,000 to $215,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job Description We’re not chasing the next app. We’re engineering the unseen layer — the low-level, rock-solid systems that allow sensitive data to move, sync, and stay secure across devices, distances, and domains no one else dares to touch. Whether it’s a classified sensor grid in the sky or a fully isolated compute cluster in an unmapped orbit, our software makes it all work. Fast. Encrypted. Unfailingly reliable. If that sounds like your kind of codebase, you’re in the right place. The Mission We're hiring a Senior Infrastructure Engineer to lead the development of foundational software and automation systems that support extreme-performance workloads. This role spans from bare-metal provisioning in zero-connectivity environments to high-volume telemetry ingestion and deployment orchestration in constrained, high-risk zones. You’ll be one of the minds behind how secure systems get spun up, scaled, and verified under conditions where "failure" isn’t just a 500 error — it’s a national risk. Your Work Will Include • Writing infrastructure logic from the ground up — including orchestration for environments where no internet or cloud access exists, • Building automation frameworks and tools that support testing, deployment, and verification of distributed systems across unconventional networks, • Designing internal tools for telemetry analysis, code audits, and system hardening, • Developing policy-driven CI/CD flows that can pass rigorous security reviews, • Creating performance harnesses to test against extreme latency, bandwidth, and memory constraints, • Shaping long-term technical strategy across mission systems and deployment platform. Tech Stack You Might Touch • Languages: Go, Rust, Python, C++, Bash, • Infrastructure: Kubernetes, Nomad, Docker, Terraform, Ansible, systemd, • Platforms: Linux (especially hardened), bare-metal deployments, containerized runtimes, • Environments: Air-gapped systems, classified networks, satellite and high-altitude platforms Who Thrives Here This isn’t a DevOps gig in a SaaS org. If you're the kind of engineer who: • Reads RFCs for fun, • Can debug a kernel panic and a bad CI run, • Has opinions about syscall behavior in restricted spaces, • Gets excited by designing systems that could live in orbit …then we want to talk. You’ve likely worked in security-first environments, understand what it means to ship code that must work, and care deeply about reliability and long-term maintainability. Why You’ll Stay • You’ll build tech most people will never know exists — but everyone depends on, • You’ll work with engineers who obsess over the craft, • You’ll never be handed “standard” — your work will define new baselines, • You’ll be part of something with actual impact, not just metrics Requirements Do NOT Apply If You: • Require visa sponsorship (H1B, TN, etc.)., • Have a history of frequent short tenures (job hopping)., • Come from IT consulting firms (Infosys, Wipro, Cognizant, Capgemini, etc.)., • Have fake, misrepresented profiles., • Have NO LinkedIn Profile

Job DescriptionQuix Recruitment is partnering with a cutting-edge fintech firm to hire an Applied Machine Learning Engineer to develop and deploy machine learning models that optimize trading strategies and risk management solutions.This role bridges research and engineering, requiring expertise in ML implementation, algorithm optimization, and production-ready system deployment. The successful candidate will work closely with quantitative researchers and team members to translate models into robust solutions.Key Responsibilities • Develop, test, and deploy machine learning models for financial datasets., • Optimize and maintain feature engineering pipelines and model inference systems., • Collaborate cross-functionally to integrate ML solutions into production environments., • Experiment with methods including reinforcement learning, deep learning, and time-series analysis., • Document models and provide clear reports for technical and non-technical stakeholders., • Support team growth by mentoring junior members and sharing best practices.Experience & Skills, • Advanced degree in Computer Science, Statistics, or a related quantitative field., • 3+ years of hands-on experience applying ML models in a production environment., • Strong Python skills and experience with TensorFlow, PyTorch, or scikit-learn., • Experience with cloud deployment (AWS, GCP) and containerization (Docker, Kubernetes)., • Experience with data processing frameworks like Spark or Hadoop.Competencies, • Strong analytical mindset and problem-solving skills., • Self-motivated and able to manage multiple projects independently., • Collaborative and detail-oriented approach to code and model validation.Contract Details, • Duration: 6 months (with possible extension), • Hours: Remote, 40 hours/weekConfidentiality Statement: At Quix Recruitment, we prioritise confidentiality throughout the recruitment process. We understand the sensitivity of exploring new career opportunities while currently employed. Rest assured that when you apply through Quix Recruitment, your application is kept completely confidential from both your current employer and the hiring company. If we determine that you might be a good fit for the position, we will arrange a confidential call with you to discuss the opportunity in more depth. Only after obtaining your permission will we share your CV with the hiring company.Disclaimer: Please note that all personal information collected during the application process will be used for recruitment-related purposes only. We are committed to protecting your privacy and will not disclose your information to any third parties without your consent.

Job Description Our client is a well-funded, early-stage AI company with a bold mission to rebuild the foundation of insurance claims processing. Backed by Founders Fund (an early investor in OpenAI and Scale AI) and Emergence Capital, they have already raised a $3.8M oversubscribed seed round and achieved six-figure ARR in just three months. Their small, ambitious team comes from prestigious backgrounds, including AI labs at Oxford, Cambridge, and ETH Zurich. They are committed to performance, ownership, and delivering optimal outcomes for insurers. Our client is seeking a Founding Senior Engineer to help build a scalable backend for their AI insurance claim product. This is a chance to have a massive impact from day one, owning the foundational database and backend infrastructure. They are looking for someone with a founder's mindset who is comfortable deploying to production immediately and shaping the overall tech stack. You will be responsible for: • Creating the foundational database and backend infrastructure., • Scaling systems to handle 100x growth., • Designing and building features from scratch., • Focusing relentlessly on scalability and performance. We are seeking a senior backend engineer with a proven track record of scaling systems in high-growth, early-stage startup environments. Must-Haves: • 5+ years of backend development experience, with a focus on Python, Go, or Node., • At least 1 year of experience at an early-stage startup (<100 people) or founder experience., • Expertise in scaling systems for massive growth., • Deep knowledge of PostgreSQL, GraphQL, and Docker., • Experience with cloud platforms (GCP or AWS)., • Familiarity with LLM agents, including their limitations and tools., • A strong sense of ownership and the ability to work independently., • Willingness to work in-person in San Francisco, 5–6 days a week. Bonus Points: • A background in an early-stage AI startup., • Salary: $200,000–$260,000, • Equity: 0.6%–1.2%, • Visa Sponsorship: Available Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Our client is an AI company building autonomous digital workers that automate specific jobs from start to finish. Instead of selling software, they sell the result of the work itself. Their AI digital workers, like "Alice," an AI Sales Development Rep, have already generated millions in revenue for companies like Brex and Otter AI. Founded in 2023, the team has grown to 40 "pirates"—ex-founders and founding employees from unicorn startups like Brex, along with entrepreneurial operators from companies like Revolut and Amazon. They're a high-velocity, high-ownership team backed by $75M in funding. Our client is looking for a Senior Full-Stack Software Engineer to help shape the future of AI and digital workers. This is a chance to own products and problems end-to-end, driven by a core value of velocity. You will have a direct impact on the company's growth, as they aim to hire 5–30 new engineers. You will be responsible for: • Architecting and building new workflows within products., • Bridging communication between applied research, go-to-market, product, and engineering teams., • Identifying and implementing architectural improvements and scalability solutions. We are seeking a senior full-stack engineer who thrives in a chaotic, high-velocity environment and has a relentless ownership mindset. Must-Haves: • 4+ years of full-stack (frontend and backend) experience., • Strong background as a technical founder, founding engineer, or engineer at a hyper-growth startup., • Expertise in TypeScript, with experience in Next.js, Node.js, and React., • A strong ability to work with speed, compressing multi-week development cycles into days., • Willingness to work on-site, 5 days a week, in San Francisco. Bonus Points: • A stable work history with strong career progression., • Notable achievements or side projects., • Salary: $150,000–$200,000 per year, • Equity: Competitive package, • Visa Sponsorship: TN and H1B transfers are available Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description At Ouster, we create cutting-edge sensors and software solutions for engineers, roboticists, and researchers to help make the world safer and more efficient. Our advanced sensor hardware and vision algorithms are integral to a wide range of applications, including autonomous vehicles, drones, and more. If you're passionate about tackling complex challenges and shaping the future of autonomy, we want you on our team! As a Senior Autonomy Engineer on the Ouster SDK (Software Development Kit) team, you'll play a key role in developing systems and features that power autonomous applications, including robotics and Advanced Driver Assistance Systems (ADAS). You'll also contribute to the evolution of the open-source Ouster SDK—an essential toolset for customers to access, process, and visualize LiDAR data, enabling them to bring their robotic systems to life. This role requires a keen eye for high-performance C++ development and crafting clean, efficient APIs. You’ll collaborate closely with internal teams, including Ouster's LiDAR development and perception teams, as well as external stakeholders in the open-source community. Additionally, you will have the opportunity to work directly with key customers to understand their challenges and provide innovative solutions, either by leveraging existing SDK features or creating new ones. This job is a hybrid onsite in San Francisco headquarters. Relocations will be sponsored. Job Responsibilities: • Develop custom systems for autonomy, robotics and ADAS applications based on Ouster SDK features, • Translate customer requirements into engineering implementation, • Design, implement, and test features in C++ and Python for the open-source Ouster Lidar Sensor SDK, • Develop and maintain clean, high-performance, robust cross-platform code, • Prototype, design, and implement in-house tools to support internal engineering teams from embedded software to optics and manufacturing in building lidar sensors, • Enhance internal perception and mapping capabilities, • Document, plan, and track your work, • Demonstrate new products to customers and stakeholders Job Requirements: • 4+ years of experience in high-performance C++ and Python, • 4+ years of experience developing autonomy systems with localization, obstacle avoidance and path planning algorithms, • Proven track record of defining, developing and deploying fully autonomous robotic systems., • Proven ability to troubleshoot complex systems, particularly in robotics, autonomous driving, and multi-sensor environments., • Ability to integrate and process data from multiple sensors (LiDAR, cameras, IMUs) to achieve robust system performance, • Strong communication, collaboration, and leadership skills, • Significant Linux experience, • Some knowledge of Linux networking, networking protocols and Python packaging, • Experience working with Robotics Processing Platforms such as Nvidia Jetson, RaspberryPi, • Experience developing and deploying with Docker, • Experience with cross-platform development, especially Windows or macOS, • Past experience working directly with customers, • LiDAR-based approaches for precise positioning, • Network programming experience, • Pybind11, • Experience with Jenkins or other CI/CD systems, • Experience with CMake, build, packaging, • Web assembly, • OpenGL, • Experience maintaining an open-source codebase We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR eXrI9e3oUX

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's top billion-dollar global retailers. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! ABOUT THE JOB We are looking for an Analytics Engineer to help build and develop our analytics capabilities at RADAR. The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering, data science and research. Responsibilities: • Design, build, and maintain scalable, reliable, and efficient data pipelines using Apache Airflow & Beam., • Ensure pipelines are robust and maintain high levels of trust and integrity by implementing data quality checks, unit tests, pipeline monitoring, error handling, and logging mechanisms., • Design and build the data model to support scalable and repeatable analytics., • Collaborate with Data Science, Engineering and Product teams to understand data needs and translate into solutions., • Write and optimize complex SQL queries including use of CTEs and window functions., • Develop RADAR's data product offering., • 4+ years of experience working in a Business Intelligence, Analytics Engineering or Data Engineering role., • Strong proficiency in Big Data query tools such as SQL or Apache Spark. Comfortable with Python for data manipulation and development of orchestration pipelines., • Experience in the development, maintenance and monitoring of large data pipelines with an orchestration tool such as Airflow, Dagster or DBT., • Understanding of Big Data processing fundamentals e.g. partitioning strategies, SQL query performance optimization., • Experience developing data models that support scalable, cost-effective analytics pipelines., • Experience writing data quality checks and unit tests to ensure high quality data and analytics., • Experience creating analytics solutions using visualization tools such as Looker or Tableau., • Experience working with real-time data streams and large-scale data warehouses., • Knowledge of developing pipelines that support ML model training and serving., • Knowledge of modern data warehousing solutions such as Snowflake, Databricks or Big Query. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process. CULTURE SNAPSHOT Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

Job Description I’m working with an exciting, fast-growing startup in San Francisco that’s on the hunt for a talented Full Stack Engineer. If you’re looking to make a real impact by working with cutting-edge technologies like AI and LLMs, this is the opportunity for you! What You'll Do: • Dive into the full stack—backend, frontend, infrastructure, and design—bringing your expertise to every corner of the tech landscape., • Flex your skills in Python, JavaScript, React, React Native, Flask, PSQL, and LLM prompting to build scalable, high-performance solutions., • Work hands-on with LLM APIs like OpenAI’s GPT-4 and Anthropic Claude, driving innovation in AI-powered systems., • Collaborate closely with product and design teams, using your UI/UX intuition to help shape the future of the product., • Take full ownership of projects, managing everything from concept to execution, ensuring that your work directly impacts the company’s success., • Communicate your contributions clearly to both technical and non-technical team members, creating a seamless workflow across departments., • Adapt quickly in a fast-paced, dynamic environment—constantly learning and growing alongside a talented, driven team.What We're Looking For:, • Strong background in full stack development and APIs, with a preference for experience in agent-based AI systems and LLMs., • Strong Proficiency in LLM APIs such as OpenAI’s GPT-4 or Anthropic Claude., • A proactive, detail-oriented developer who thrives in fast-paced, ever-evolving environments., • A collaborative team player with a strong UI/UX sense, eager to iterate on designs with product teams., • Excellent communicator who can bridge the gap between technical details and business goals.

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively.

Job DescriptionAbout the Role We’re looking for a Founding Engineer to join a fast-growing AI startup that is redefining personal productivity. As one of the first three employees, you’ll play a critical role in building an AI assistant designed to replace outdated tools and workflows like Siri, calendars, and emails. You’ll work directly with the founding team to shape the product, architecture, and technical direction while owning full-stack features end-to-end. This is a rare opportunity to be part of the core founding team, with both significant equity and the chance to help scale a company from the ground up. Why Join? Backed by top investors including Y Combinator $1M+ annual revenue with rapid monthly growth Chance to work directly with proven founders from top universities Build AI automation tools that redefine how people work Be part of a high-energy, mission-driven team What You’ll Do Build and ship full-stack features used by thousands (and soon millions) Own product initiatives from concept to deployment Collaborate closely with founders on technical strategy and system architecture Scale infrastructure to support fast user and revenue growth Drive product direction and culture as a founding team member RequirementsWhat We’re Looking For Strong full-stack engineering skills (Python, FastAPI, Next.js, React Native, SwiftUI) Passion for AI agents and consumer products Entrepreneurial mindset and eagerness to build in an early-stage environment Ability to move quickly, take ownership, and thrive in ambiguity Strong communication skills and cultural alignment with a collaborative team Track record: Built full-stack applications from scratch; experience at top VC-backed startups or high-growth companies a plus Education: CS degree or equivalent practical experience (top-tier universities a strong signal) Skills: Full-stack web application development UI/UX and product design Mobile development (React Native, SwiftUI) Personal traits: Relentless builder, proactive problem-solver, down-to-earth communicator Location: Based in San Francisco or willing to relocate Benefits Role Details Salary: $120k – $180k Equity: Significant founding equity Work Policy: On-site in San Francisco (5 days/week) Visa Sponsorship: Not available Hiring Goal: ASAP Team Size: Early-stage (first 3 hires)

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. About the Job: We use statistical science to understand how to construct an efficient and optimized market, understand causality, and drive our future investment. We use machine learning techniques to solve challenging problems so that we optimally match candidates and jobs. This includes NLP and deep learning along with pragmatic use of simpler machine learning approaches and heuristics. We're looking for an experienced Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new and existing challenges. Coming up with new analysis and understanding, building models, developing high quality, high-performance code and constantly improving the solution and expanding its scope. Responsibilities: • You'll be joining a team of software engineers, data scientists, and ML engineers working on interesting problems in the fields of recommendations, search, and NLP., • Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent, • 3+ years of experience as a Data Scientist, • Proficiency in Python, • Familiarity with Deep Learning, • Experience with Linux environment and AWS, • Team player with excellent communication skills, • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job Description We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI. Role Overview: As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems. Responsibilities: • Collaborate with AI researchers and developers to understand project requirements and objectives., • Design and create a diverse range of prompts tailored to specific AI tasks and applications., • Develop creative and innovative ways to generate effective prompts that improve model performance., • Conduct extensive research to identify and curate relevant data sources for prompt development., • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes., • Optimize and fine-tune prompts based on continuous testing and feedback from AI models., • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy., • Stay up-to-date with the latest advancements in natural language processing and AI technologies., • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred., • Proven experience in working with natural language processing and AI technologies., • Strong understanding of AI models, algorithms, and neural networks., • Experience in prompt engineering, creative writing, or content creation is a plus., • Proficiency in programming languages such as Python or JavaScript., • Solid knowledge of data collection, preprocessing, and annotation for prompt development., • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face., • Strong analytical and problem-solving skills with a keen eye for detail., • Excellent communication and collaboration skills to work effectively in a team environment.

Job Description Forhyre is looking for engineers who can bring unique perspectives and innovative ideas to all areas of development and are interested in continuing to improve our platform through the ever-changing technology landscape. To be successful in this role • You'll have the opportunity to design and implement major infrastructure components, systems, and developer-friendly capabilities to improve the availability, scalability, latency, and efficiency of our services, • You will provide technical leadership to cross-functional engineering, infrastructure, and product teams, and evangelize cloud best practices while building a culture of reliability and observability, • Engage in and improve the end to end lifecycle of software development--from inception and design, through deployment, operation and refinement of a highly distributed system running in public cloud, • Serve as subject matter expert in an SRE mindset, best practices, and cloud-native principles, • Scale systems sustainably through automation to improve reliability and velocity, • Assist with all aspects of operational security and compliance, • Run software performance analysis and system tuning, • Design and implement tools to collect data from various sources and provide actionable insights, • Participate in critical incident management and timely post-mortems of production incidents to drive practices around blameless analysis, resolution, and continuous improvement work with cross-functional teams Develop the rest of the team by conducting code reviews, providing mentorship, pairing, and training opportunities Qualification & Skills • We are looking for Principal SRE with proven experience in running distributed systems at scale, in production, • You have 15+ years of experience in relevant skills gained and developed in the same or similar role, • Strong knowledge of container orchestration, preferably Kubernetes and networking technology, • Hands-on experience in one or more languages, such as Node JS, Python, Go, Perl, Ruby, and Bash, • Experience with SOA, Microservices architecture, API Management & Enterprise system Integrations, • Strong production experience with cloud infrastructure, AWS, Azure & Google Cloud, • Strong sense of ownership, and an ability to drive tasks to completion, • Experience developing and monitoring distributed systems, • Experience working in an Agile Environment with great collaboration skills

Job Description About ConnectPrep: Our goal is to redefine “tutoring” – to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting – connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You’ll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: • Creative problem solving, strong math/quantitative skills, and attention to detail, • A background in Applied Mathematics, Statistics, or Computer Science, • Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students, • Experience with SQL, Pandas, or other fast analysis language, • Experience in data analysis or building pipeline tools in Python, • Some coding background and a strong interest in technology, • Advanced Excel skills (Advanced Formulas), • Tables & Formatting, • Conditional Formatting, • Advanced Charting, • Pivot tables & Pivot Reporting, • VBA & Macros, • Using Excel Productively, • Data Tables, Simulations & Solver Benefits Why join ConnectPrep? • Get in on the ground floor of an exciting new company, with the potential to help shape our direction, • Be involved with a team that has bold ideas, with the goal of reinventing education across the globe, • Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at . All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

Job Description Tl;dr — Join Callidus, the most advanced legal generative‑AI platform, as a hands‑on Full Stack Engineer. Work with state‑of‑the‑art AI, an experienced founder‑led team, and a fresh funding round. Competitive total comp. Hustle culture. San Francisco. About Callidus We are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way. Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission. More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team. We work hard, ship fast, and win together. Your Role We want highly talented engineers that want to be hands-on. We don’t want a bunch of managers. You’ll be an individual contributor Software Engineer (everyone at Callidus is a doer). Expect to: • Design, build, and maintain customer‑facing features end‑to‑end., • Engineer reliable, scalable Gen‑AI workflows (hybrid RAG, agents, chains of thought, etc.)., • Collaborate daily with lawyers and product to ship measurable user value., • Own projects like “ingest millions of PDFs and summarize the legally relevant findings for this case”., • Uphold code quality, security, and performance through reviews and automated tests. Seniority Level Hiring for all levels of seniority from mid-level engineer (Software Engineer II, at least 2 years of experience) to staff/principal (~8+ years of experience). This role will report to the CTO. Tech Stack • Cloud: Azure, • Backend: Python (FastAPI), Redis, Postgres, • Frontend: React / Next.js, Node What We’re Looking For Core Requirements • Full-stack engineering in Python + React/Next., • Proven record of shipping high‑quality products quickly., • Experience working with LLM APIs and prompt engineering., • Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.)., • Startup or LLM‑focused‑company experience., • Clear, concise communicator—low words : insights ratio., • Ownership mindset: you do what you say and surface risks early., • Ability to work well with ambiguity and low amounts of process., • Genuine excitement for AI and building category‑defining products., • Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.)., • Legal or LegalTech experience., • Strong DevOps skills on Azure (or AWS/GCP with quick ramp‑up)., • Personal use of AI tooling (Cursor, CoPilot, Midjourney, etc.)., • Automation and productivity‑hack side projects., • Engineering degree. Interview Process (fast!) • Calibration call with AI Fund sourcing manager., • Connecting with our Head of Engineering., • Meeting another engineer. Location • San Francisco, CA, • No relocation budget, but you are welcome to apply if you are willing to move to San Francisco even if you don't already live here. Compensation • Base Salary: $150,000 - $260,000 (adjusted by seniority), • Meaningful equity, • Comprehensive medical, dental, and vision coverage + Life Insurance, • PTO + company holidays Why Join Callidus? • Build on the cutting edge of the most transformative tech since . . . fire?, • Own significant pieces of product in an engineering‑led, high‑talent team., • Become one of the first 15 employees at a company poised for explosive growth., • Tackle high‑impact, technically hard problems that competitors avoid., • Reap outsized rewards in equity and professional growth. Callidus is an equal opportunity employer and does not discriminate on the basis of race, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference. Responsibilities • Develop APIs for AI inference that will be used by both internal and external customers, • Benchmark and address bottlenecks throughout our inference stack, • Improve the reliability and observability of our systems and respond to system outages, • Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX), • Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.) Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a Site Reliability Engineer (SRE) to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure and systems that support our web and mobile products. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, and performing testing, monitoring, and maintenance.Our backend stack includes Python, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities • Design and implement highly available, high-performance, and scalable systems., • Maintain and optimize key-value and relational databases., • Scale and load balance web server backends to meet rapidly changing needs., • Participate in on-call rotation. Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues., • Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance., • Collaborate with product engineering and security engineering teams to develop scalable automations.Qualifications, • Strong experience with cloud infrastructure built on AWS., • Proficient in database management and caching strategies., • Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues., • Experience working with containers (Docker, Kubernetes) and orchestration tools., • Excellent communication and collaboration skills., • Experience with Python and Terraform.

Job DescriptionAbout Mithrl We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are the fastest growing tech-bio startup in the Bay Area with over 12X YoY revenue growth. Our platform is already being used by teams at some of the largest biotechs and big pharma across three continents to accelerate and uncover breakthroughs—from target discovery to mechanism of action. Why This Role Matters We’re not just running pipelines. We’re building systems that think like scientists. As a Senior Bioinformatician at Mithrl, you’ll play a critical role in shaping how our AI platform understands and interprets complex genomics data—across bulk RNA-seq, single-cell, CRISPR, and beyond. You won’t just run tools, you’ll know how they work. You’ll help us design smarter algorithms, build analysis frameworks that generalize, and uncover insights that matter to drug discovery teams around the world. You’ll work closely with our AI scientists, software engineers, and customer partners to bridge data, computation, and biology in real time. What You’ll Do * Ownership: Own the full bioinformatics stack -- from ingesting raw data to generating insights that drive real-world drug program decisions. Your work will be the scientific backbone of Mithrl’s AI. * Work closely with our product, AI, and customer teams to make sure your work is not just technically correct, but biologically meaningful and decision-driving * Go beyond pipelines: Understand what tools are doing, why results look the way they do, and how to improve them * Collaborate with engineers and product teams to turn bioinformatics insights into scalable software features * Validate findings, spot inconsistencies, and suggest new hypotheses for customers and internal use * Translate messy biological questions into clean computational problems, and vice versa * Mentor junior scientists and review technical outputs to ensure scientific accuracy * Stay up-to-date on the latest methods in transcriptomics, functional genomics, and statistical analysis What We’re Looking For * 5–10 years of experience in bioinformatics * Deep fluency in Python and SQL, including experience working directly with structured genomics data at scale * Strong grasp of statistical and machine learning methods applied to high-throughput biological data * Hands-on experience with modern genomics tools and file formats (e.g., GWAS, aligners, etc.) * Ability to interpret and debug pipeline results; not just run them * Strong scientific judgment, clarity in communication, and attention to detail * **Curiosity, persistence, and a drive to understand how things work * **High energy, strong work ethic, and a track record of getting things done * **Discipline Wins: At Mithrl, the social currency is hard work and consistency. The problems we’re solving are complex and take time to bear fruit. We value teammates who show up every day, work with focus, and bring long-term discipline to their craft * Bonus: Experience working with AI/ML scientists or integrating bioinformatics with production software What You’ll Love * Scope: Shape how a cutting-edge AI platform thinks about biology and delivers real insight * Impact: Your work will directly influence drug discovery decisions at top biotech companies * Team: Join a world-class crew of AI scientists, engineers, and biologists working together at full speed * Culture: No ego, no bureaucracy. Just deep thinking, fast execution, and high ownership * Location: Beautiful SF office with a focus on in-person, high-bandwidth collaboration * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

Job Description About the Role As a Founding Engineer at Cenna, you will play a pivotal role in shaping our cutting-edge agentic services platform. Working across the entire stack, you will design, build, and deploy core features, driving the technical vision of our AI-powered products from inception to scale. Responsibilities • Architect and develop innovative features for our agentic services platform, • Create seamless, responsive user interfaces using modern frontend frameworks, • Build scalable, secure backend services and APIs to power platform functionality, • Collaborate with cross-functional teams to define system architecture and AI-driven solution standards, • Conduct code reviews, mentor junior engineers, and promote engineering best practices, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 5+ years of software engineering experience, preferably in startup settings., • Strong skills in programming languages like Java, Python, or JavaScript., • Familiarity with cloud platforms (AWS, Azure, GCP)., • Experience with modern software development practices and CI/CD tools., • Excellent collaboration and problem-solving skills. Good to Have • Familiarity with AI/ML technologies or agentic systems, • Proficiency in containerization (Docker, Kubernetes) and cloud infrastructure, • Knowledge of CI/CD pipelines and DevOps practices, • Contributions to open-source projects, • Prior experience thriving in a fast-paced startup environment

Job Description Senior Software Development Manager - Cybersecurity Location: Remote (USA-based candidates only) Compensation (USD): 280,000 - 350,000 base salary + generous RSUs Company Stage: Series A Team Size: ~12 engineers Funding: $20M About the Company We are a rapidly growing cybersecurity firm utilising cutting-edge AI technologies to enhance digital security. Our platform leverages generative AI to autonomously oversee and optimise an organisation's existing security stack, aiming to achieve the best possible security posture with the products already in use. As we expand, we are seeking a Senior Software Development Manager to lead and scale our data ingestion platform. Role Overview As a Senior Software Development Manager, you will play a pivotal role in building and scaling our data ingestion platform. This position requires a hands-on technical leader with a strong background in coding and team mentoring. You will be responsible for: * Leading and growing a team of engineers focused on data ingestion and processing. * Balancing hands-on contributions (architecture, code reviews, technical design) with management responsibilities. * Driving execution of projects from planning to delivery, ensuring timelines, quality, and stakeholder alignment. • Establishing and refining engineering processes around productivity, quality tracking, incident management, and performance recognition. Collaborating with cross-functional teams to define and implement data ingestion strategies. * Utilising technologies such as Python, Databricks, and Snowflake to build scalable and efficient data pipelines. Ideal Candidate Profile We are looking for a candidate who: * Has experience in leading and scaling data ingest platforms. * Possesses strong coding skills in Python and familiarity with data processing tools like Databricks and Snowflake. * Has a background in late-stage startups or high-growth technology companies. * Demonstrates excellent team-building and mentoring abilities. * Is comfortable working in a fully remote environment and can manage teams across different time zones. Application Process To apply, please submit your resume and a brief cover letter outlining your relevant experience and why you are interested in this role. Due to the confidential nature of this position, direct applications to the company website are not permitted.

Job DescriptionAI Research Scientist (Multi-agent Systems) | naptha.ai About the role We are seeking an exceptional AI Research Scientist to join Naptha AI at the ground floor, focusing on advancing the state of the art in multi-agent systems and agent interoperability. In this role, you will be responsible for researching and developing novel approaches to agent collaboration, coordination, and scalability. Working directly with our technical team, you will help shape the fundamental architecture of our agent interoperability platform. This role is critical in solving core technical challenges around agent communication protocols, task delegation, and distributed intelligence. You will work at the intersection of multi-agent systems, machine learning, and distributed systems to develop practical solutions for real-world agent deployment and collaboration. Core ResponsibilitiesResearch & Development * Design and implement novel architectures for scalable multi-agent systems * Develop frameworks for agent communication and coordination * Research approaches to improve agent interoperability across different frameworks * Create efficient protocols for distributed task execution and resource management * Implement and test new ideas through rapid prototyping Technical Innovation * Stay at the forefront of developments in multi-agent systems and AI research * Identify and solve key technical challenges in agent interoperability * Develop novel approaches to agent collaboration and task delegation * Bridge theoretical research with practical implementation * Contribute to the academic community through publications and open source Platform Development * Help design and implement core platform architecture * Develop scalable solutions for agent deployment and management * Create tools and frameworks for agent monitoring and evaluation * Collaborate with engineering team on implementation * Build proofs of concept for new capabilities Leadership & Collaboration * Work closely with engineering team to implement research findings * Mentor team members on advanced ML concepts and techniques * Contribute to technical strategy and roadmap * Collaborate with external research partners when appropriate * Help evaluate and integrate external research developments In this role, you're a good fit if you have: * Strong background in machine learning and AI research * Deep understanding of multi-agent systems and reinforcement learning * Hands-on experience with modern agent frameworks (e.g., LangChain, AutoGPT) * Experience with ML infrastructure and deployment * Track record of implementing complex AI systems * Excellent programming skills (Python required, Rust a plus) * Strong analytical and problem-solving abilities * PhD in Machine Learning, Physics, Mathematics, or equivalent experience is a plus * Published research in relevant fields is a plus Required Technical Experience: * Python programming and ML frameworks (PyTorch, TensorFlow) * Experience with agent frameworks (LangChain, AutoGPT, etc.) * MLOps and model deployment * Distributed systems and scalable architecture * Version control and collaborative development * Experience with large language models About the hiring process: * Initial technical interview * Research presentation * System design discussion * Technical challenge * Team collaboration interview Compensation & Benefits: * Competitive salary with significant equity stake * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and development budget * Conference and research publication support * Home office setup allowance Additional Notes: * Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups * Strong bias for practical implementation of research ideas * Passion for advancing the field of multiagent systems * Interest in open source contribution and community engagement Naptha AI is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of background.

Job Description Position Title: Quantitative Geneticist, Predictive Breeding Location: San Francisco, CA Time Type: Full Time The Opportunity At Ohalo, we are building the future of agriculture with our breakthrough Boosted breeding technology. We are seeking a visionary and hands-on Quantitative Geneticist to be a principal architect of the computational engine that drives our entire crop improvement strategy. This isn't a typical modeling role. You will be at the nexus of genetics, data science, and engineering, designing the predictive systems that guide our breeding decisions. You will build and deploy everything from genomic selection models to sophisticated simulations that chart the course of our breeding portfolio. If you are driven to solve complex problems and want to see your code and models directly translate into real-world genetic gain, this is a unique opportunity to make a foundational impact. Responsibilities As a key member of our technical team, your responsibilities will be organized around three core pillars: 1. Core Predictive Science • Genomic Prediction & GWAS: Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form the foundation of our predictive capabilities, translating genotype and phenotype data into actionable insights., • Breeding Simulation: Evolve our in-house breeding simulation platform to run complex, large-scale scenarios. Your models will answer critical strategic questions about resource allocation, risk management, and the optimal path to achieve our breeding objectives. 2. Strategic Decision Modeling • Pipeline Optimization: Move beyond prediction to prescription. Design and implement online optimization models (e.g., using multi-armed bandits, online learning, metaheuristics) to create a self-improving system that dynamically allocates resources and maximizes the rate of genetic improvement., • Portfolio Management & Utility: Develop and integrate multi-trait utility functions that align our selection strategy with market needs and product profiles. You will help manage the entire breeding portfolio as a strategic asset. 3. Innovation & Collaboration • Accelerate Research with AI: Act as a force multiplier by leveraging modern AI tools across the research lifecycle. This includes using LLMs for hypothesis generation, pioneering the use of genomic foundation models (e.g., Evo2), and using AI-assisted tools to write, debug, and document production-quality code., • Drive Cross-Functional Impact: Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into modeling requirements and ensure your solutions are seamlessly integrated into our operational workflows., • Uphold Statistical Rigor: Collaborate with fellow quantitative scientists to champion statistical integrity across the organization, from experimental design to model validation and interpretation.Candidate Profile, • Education: M.S. or Ph.D. in Quantitative Genetics, Statistical Genetics, Plant Breeding, Biostatistics, Operations Research, or a related computational field., • Core Experience: 2-5+ years of hands-on experience applying quantitative principles in a research or industry setting. A strong portfolio of projects demonstrating the application of predictive modeling and/or simulation is highly desired., • Programming Excellence:, • Expert-level proficiency in Python and its scientific computing stack (e.g., NumPy, SciPy, Pandas, Scikit-learn). Demonstrable experience building modular, testable, and maintainable code is essential., • Hands-on experience using generative AI tools (e.g., GitHub Copilot) to accelerate the development of scientific code., • Statistical Modeling Expertise:, • Deep theoretical and practical understanding of mixed models for genetic evaluation (e.g., GBLUP, ssGBLUP)., • Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference., • Familiarity with decision theory and online optimization frameworks (e.g., multi-armed bandits, Thompson sampling) for resource allocation., • Experience with or interest in applying genomic foundation models (e.g., Evo2, other LLM-like architectures) to learn from large-scale sequence data., • Experience with machine learning algorithms (e.g., XGBoost, Ridge Regression) as applied to genomic data., • Collaboration & Communication: A proven ability to work effectively in a cross-functional team. You must be able to translate complex technical and scientific concepts for different audiences and work collaboratively to turn models into real-world impact., • Genomic Data Acumen: Experience handling and processing large-scale genomic datasets (e.g., SNP arrays, sequencing data) is required., • Bonus Points For:, • Proficiency in R, particularly for reading and translating legacy statistical models (e.g., brms, sommer, ASReml)., • Experience with workflow management tools (e.g., Nextflow, Snakemake)., • Familiarity with cloud computing environments (GCP, AWS) and data warehousing technologies (e.g., BigQuery)., • Knowledge of polyploid genetics and modeling. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit . The anticipated pay range for this role is $125,000 - $150,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location. Notes: • If you previously applied for a job at Ohalo, we encourage you to restate your interest in the position by submitting your application., • No visa sponsorship is available for this position at this time., • No recruiters please.

Job DescriptionWho we are At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media. With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. The role As an Applied AI Engineer, you will be a hands-on technical expert helping customers turn TwleveLabs’ full stack video understanding AI into production-ready solutions. You’ll prototype, integrate, and optimize AI applications built on TwelveLabs’ models and products, collaborating closely with our Science, Product, and Engineering (SPE) teams to extend model capabilities and build repeatable patterns for real-world adoption. This role sits at the intersection of AI research and applied engineering: you’ll help customers explore what’s possible, then roll up your sleeves to make it practical, scalable, and secure. What you’ll do * Prototype and build applications and workflows using TwelveLabs models and products. * Experiment and tune TwelveLabs models using customer data. * Integrate into customer stacks: Bring TwelveLabs powered solutions to customers in a format consumable by their teams. * Develop evaluation frameworks for accuracy, latency, cost, and robustness in production workloads. * Create reusable assets (code samples, reference apps, documentation) to accelerate adoption across multiple accounts. * Collaborate with SPE: co-design experiments, validate new capabilities, and influence roadmap through applied field insights. Innovation starts in the field. Required experience * 5+ years in software engineering, machine learning engineering, applied machine learning, or a related field with a focus on building model driven, production workloads. * Deep familiarity with data science fundamentals * Working knowledge of linear algebra and its application to embeddings * Ability to analyze customer data, design experiments, and interpret results for both technical and non-technical stakeholders. * History of rich internal documentation and communication Nice to have * Experience dealing with video at scale using tools such as ffmpeg and a fundamental understanding of how video compression and processing techniques * Strong proficiency in Python and common AI/ML libraries * Proficiency in C, C++, Rust, or a similar lower-level, performance oriented language * Familiarity with LLM/multimodal workflows: embeddings, retrieval-augmented generation (RAG), prompt engineering & orchestration, agentic systems, and/or evaluation frameworks * Experience deploying AI/ML systems in cloud environments (AWS, GCP, or Azure), including containerization (Docker/Kubernetes). Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑️‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits ✈️ Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees)

Job DescriptionAbout Collective: Collective is on a mission to redefine the way businesses-of-one work. Collective's technology and team of trusted advisors enables our members to achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, Techcrunch and more. We're backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google's Gradient Ventures, Expa and prominent investors who have financed and built iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, Lyft, and more. About the role Collective is looking for an enthusiastic Senior Cloud Infrastructure Engineer with a deep passion for tackling complex problems in both new and existing systems. You will play a crucial role in helping a young company scale into an industry leader. We're looking for someone who can justify their opinions with past examples and a strong knowledge of cutting-edge technologies and processes. You should enjoy paving new paths, testing recovery plans, and managing quiet, stable systems. What you'll do: • Use Infrastructure as Code (IaC) with Terraform to provision, deploy, and manage cloud resources on AWS and GCP as well as other SaaS vendors., • Embed security best practices into the infrastructure by enforcing zero-trust architecture principles like least privilege and identity-based access to protect systems and data., • Understand the shared security model for the various products used, • Build systems that are both stable and cost effective, • Develop and test disaster recovery plans., • Collaborate with and mentor teams on CI/CD pipelines and assist with debugging., • Automate all the things to simplify your life and scale your impact, • Work closely with external teams to understand application needs and translate them into scalable infrastructure solutions., • Implement monitoring, logging, and alerting solutions to track system performance and reliability., • Proactively tune systems and address bottlenecks to maintain smooth operation of critical services., • Participate in the on-call rotation to respond to outages, recover systems, and guide incident response., • Determine root causes and drive the lessons learned process to improve system stability., • Stay current with emerging technologies and best practices in Cloud Infrastructure, DevOps, and Platform Engineering., • At least 3-5 years of hands-on experience as a Cloud Infrastructure Engineer, DevOps, SRE, or Security Engineer with a proven track record of operating production cloud environments at scale., • You must thrive in the dynamic environment of a smaller startup., • Cloud Platforms: Proficiency in multi-cloud operations – Amazon Web Services (AWS) is highly preferred; experience with Google Cloud Platform (GCP) and/or Microsoft Azure is a plus., • Experience implementing infrastructure and security policy as code., • Strong software development skills, preferably in Python or another high level language, • Excellent communication, presentation, and analytical skills. You must be able to clearly and persuasively communicate complex concepts and risks in an engineering-driven environment., • Ability to write clean, maintainable code for automation and tooling. Experience building internal tools or services to eliminate manual work is a plus., • Familiarity with foundational networking concepts and protocols (TCP/IP, DNS, load balancing, VPCs, firewalls) and their application in cloud and hybrid environments., • Cloud: AWS (EC2, IAM, VPC, ECS, Fargate, Lambda, RDS, Elasticache), GCP (BigQuery), • Monitoring/Observability: Datadog, Sentry, Amplitude, • Github, GHA, • IAC: Terraform, HCP, • Security tooling, • You'll get hands-on experience building a product that makes a difference, • We're a small, collaborative team that values learning, ownership, and thoughtful work, • You'll work on challenging problems in the fintech space Compensation Range: $200,000 to $240,000 annual base salary The salary ranges for the roles are posted for your convenience and review. Please understand that if an offer is presented, the offer compensation package will be based on the relevant position related skills a candidate demonstrates during our formal interview process. • Employer-paid Health, Vision, and Dental Insurance, • Equity package and 401(k), • Generous paid parental leave, • 14 company holidays + unlimited PTO, • Quarterly wellness reimbursement, • A hybrid work environment based in San Francisco At Collective, we don't just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. If you're good at what you do, come as you are. The more inclusive we are, the better our work will be. Collective is proud to be an equal opportunity workplace.

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you'll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You'll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default. Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL. Responsibilities • Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds, • Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements, • At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations, • Plan and carry out threat modeling activities and realistic threat simulations across our offerings, • Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment, • Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities, • Provide guidance and education to developers to help deter and prevent threatsQualifications, • Hands-on coding and prompting experience., • Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience, • Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures, • Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP, • Understanding of application security principles and secure coding practices, • Experience developing and implementing security procedures and policies, • Strong problem-solving, project management, leadership, and communication skills, • Self-motivated with a willingness to take ownership of tasks Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a product-minded Senior Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. • Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development., • Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions., • Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team., • Implement and improve validation, monitoring, and observability for ML services within the sandbox environment., • Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement., • Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability., • Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment., • Conduct code reviews and mentor team members to uphold high engineering standards., • Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.RequirementsQualifications / Experience / Technical Skills, • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience., • 5+ years of experience of professional software development experience, with a proven track record of shipping high-quality products., • You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience., • You have experience building developer-facing products, APIs, SDKs, or CLIs., • You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models., • Proven track record of deploying and maintaining ML services in production environments is a strong plus., • Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms., • LLMops/MLops experience is a strong plus, especially in developer-facing products., • Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.Soft Skills / Personal Characteristics, • Excellent written and verbal communication skills in English., • Collaborative team player with a passion for empowering developers and improving developer experience., • Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. The salary range for this role is dependent on experience and ranges from $170,000 to >$250,000. We also provide stock options to all employees and generous benefits.

Job Description Healthcare providers go into medicine to care for people, but end up losing valuable time each day to admin work and other workplace challenges. Time that could otherwise be spent helping patients. And patients end up suffering as a result. At Commure, we build solutions that simplify providers' lives and keep them connected to their patients so they can focus on doing what matters most: providing care. Our innovative suite of software and hardware – augmented by advanced LLM AI, RTLS, and healthcare workflow automations – boosts efficiency across every domain of healthcare, freeing up healthcare providers to spend more of their time caring for patients. Our growing suite of technologies include staff duress alerting, asset tracking, patient elopement, revenue cycle management, clinical documentation and intake, provider copilots, patient engagement and communication, home health, remote patient monitoring, and more. Today, we support over 250,000 clinicians across hundreds of care sites around the country. And we’re only just getting started: Healthcare’s watershed moment for AI-powered transformation is here – so join us in creating the technology to power healthcare! About the Role Commure + Athelas is seeking a Director of Engineering to lead the development of Air, our next-generation Electronic Health Record (EHR) platform. This platform is the operating system for our practices and serves as the foundational layer for many of our most impactful products, spanning clinical documentation, patient engagement, RCM, AI copilots, and more. You will lead and grow a 25-person engineering org made up of multiple sub-teams, overseeing technical strategy, roadmap execution, and operational excellence for our core EHR platform. You’ll partner closely with senior leaders across Product, Design, RCM, and AI to deliver a high-impact, end-to-end experience for physicians, staff, and patients. This is a high-leverage, high-visibility leadership role that demands a blend of strategic thinking, strong product sense, and technical depth. You’ll set the bar for execution, scalability, and quality while fostering a culture of ownership, learning, and high performance. What You’ll Do * Own the technical direction, people strategy, and delivery excellence for the Air Engineering org — currently ~25 engineers across multiple pods. * Manage and grow a team of engineering leaders, providing coaching, structure, and support as they scale their teams and scope. * Set the long-term architectural vision for the Air platform in partnership with senior engineers and architects, ensuring performance, reliability, extensibility, and security at scale. * Partner cross-functionally with Product, Design, AI, RCM, and other stakeholders to define and deliver a cohesive roadmap aligned with customer needs and business goals. * Drive execution excellence by establishing and continuously improving processes for execution, planning, prioritization, incident management, quality assurance, and feedback loops. * Mentor senior ICs and help grow a culture of strong engineering judgment, healthy technical debate, and thoughtful decision-making. * Champion a culture of operational rigor, code quality, and respectful, in-person collaboration. * Represent engineering at the senior leadership level, contributing to company-wide planning, headcount forecasting, and strategic trade-offs. What You HaveRequired * 10+ years of software engineering experience, with demonstrated technical contributions across multiple complex systems. * 5+ years of engineering management experience, including managing other managers and building high-performing orgs of 15+ engineers. * Proven success scaling engineering organizations in high-growth environments while maintaining strong execution and culture. * Strong architectural and systems thinking, with the ability to guide technical strategy and trade-offs for a large product surface area. * Track record of cross-functional collaboration, especially with Product, Design, and Ops teams, to build and ship products that solve real-world problems. * Product-oriented mindset — you care about the “why,” not just the “how,” and can balance technical depth with user and business context. * Excellent communication and leadership presence, with the ability to influence across levels and functions. * Deep empathy for healthcare end users and a desire to help fix the broken operational systems behind the care journey. Preferred * Experience working on EHRs or clinical software and familiarity with healthcare regulations (e.g. HIPAA, SOC 2). * Background leading full-stack engineering teams across web, API, and data layers (React, Python, PostgreSQL, GraphQL/REST). * Experience with AI-integrated product development or working closely with ML/AI teams. If you're excited about building the future of healthcare and leading a team of engineers dedicated to making a real-world impact, we’d love to hear from you! Why you’ll love working at Commure + Athelas: * Highly Driven Team: We work hard and fast for exceptional results, knowing we’re doing mission-driven work to transform the country’s largest sector. * Strong Backing: We are backed by top investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital and Elad Gil. * Incredible Growth: Prior to our merger, Commure and Athelas had independently grown more than 500% YoY for three consecutive years. We’ve achieved Series D funding, have an industry-leading runway, and continue to scale rapidly. * Competitive Benefits: Flexible PTO (pending specific geographical locations) , medical, dental, vision, maternity and paternity leave. Note that benefits are subject to change and may vary based on jurisdiction. Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionAbout Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We've issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the role We're seeking a Principal Security Engineer with deep expertise in cloud security, application security, and security architecture to join our growing security team. This role will report directly to CISO. In this role, you'll lead the design and implementation of scalable, secure systems across cloud platforms and modern application stacks, guiding both strategic security initiatives and day-to-day security engineering operations. This is a high-impact role that will shape the security posture of our platforms and development practices, working across engineering, DevOps, architecture, and compliance teams. Duties and Responsibilities: • Design and implement secure architectures for applications, APIs, microservices, and containerized workloads., • Develop and enforce application security best practices across SDLC; partner with DevOps and engineering teams to integrate security into CI/CD pipelines., • Conduct threat modeling, security design reviews, and risk assessments for new and existing systems., • Evaluate and implement cloud security tools, controls, and frameworks (e.g., CSPM, CWPP, IAM, KMS, logging, and monitoring)., • Provide technical leadership and mentorship to security engineers, software developers, and DevOps personnel., • Lead response to complex security incidents or architectural flaws; conduct root cause analysis and recommend strategic remediations., • Contribute to and influence security policies, standards, and governance., • 10+ years of experience in security engineering or architecture roles., • Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or related field from a reputable institution., • Deep expertise in cloud platforms (particularly AWS), including infrastructure-as-code (e.g., Terraform, CloudFormation)., • Strong experience in secure software development and application security (e.g., OWASP Top 10, SAST, DAST, threat modeling)., • Experience designing and implementing zero-trust architectures, secure API gateways, and identity/access controls., • Proficient in scripting or development languages (e.g., Python, Go, JavaScript) and secure coding practices., • Demonstrated leadership in cross-functional security initiatives and technical mentorship., • Certifications such as CISSP, CCSP, AWS Security Specialty, GIAC (GCSA, GWEB, GDSA)., • Familiarity with Kubernetes security, service mesh, and cloud-native security tooling, • Experience in regulated industries (e.g., fintech, healthcare, SaaS at scale). #LI-Hybrid #LI-JA1 The US national base salary range for this full-time position is $136,000 - $241,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include applicable bonus, equity, or benefits. You can find further details of our US benefits at Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Job DescriptionSalary: Senior Enginee DevOps As Senior Engineer DevOps, you will be working with a high performing DevOps team of wonderful humans toscale development and iteratively improve our ability to automate automate deploymentofAI-native applications Enterprise scale. Daybreaks SupplyChainproductsaresolvingverycomplexproblemsinmodernglobalsupplychainswith innovative technology and AI/ML. We are in a hyper-growth mode and in this role, you will get the opportunity to help drive the hyper-scale growth solving complex challenges around scalability, observability and integration with the broader ecosystem of enterprise stack. Responsibilities • Develop an maintaininfrastructureautomationservices, • Develop and maintain CI/CD pipelines in Azure DevOps, • Support multiple environments and clusters and lead troubleshooting for outages, • Fixing security vulnerabilities in application and infrastructure, • Role model Daybreak values, culture,and leadership practices., • Monitor usage and performance to scale environments efficiently, ensuring cost-effectiveness and maintainability, • Mentorjuniorteammembers., • You will stay abreast of industry trends and standards and champion necessary changes to maintain competitive advantage & engineering excellence Must Have • Experience deploying open-source systems to production, • Expertise in one of the cloud environments AWS,GCP,Azure, • Experience with release management using AZURE DevOps/Jenkins/Circle CI/Travis CI/GOCD, • Experience with Kubernetes, • Experience with infrastructure as code using Terraform,Ansible, • Experience with monitoring using datadog, Prometheus, Grafana, CloudWatch, • Experience with OOprogramming(Python is ideal), • Hands on experience of setting up ContinuousI ntegration and Continuous Delivery work flows Niceto Have • Experience with distributed computing for a data-intensive software application(ex.Analytics, AI, BI), • Experience or conceptualu nderstanding ofAI/MLSaaS,MLE/ML Ops,Data Ops will be a big plus, • Customer facing experience leading implementations or adoptions of product/platform is a plus, • Experience in the manufacturing or Supply Chain domain, especially integrating with common elements of an industrial or enterprise supply chain tech stack will be an advantage, • Experience working with a global team is a big advantage About Daybreak At Daybreak our mission is to Break Barriers. Every Day. Our products focus where the waste is in factories and supply chains around the world. We think traditional rules-based software is failing business leaders, so we are developing next-generation enterprise software that leverages Enterprise. Artificial Intelligence to tackle volatility in supply chains to reduce waste. We are a diverse and interdisciplinary team, looking for collaborative and intellectually curious Noodlers hungry to learn from other perspectives, create together, and have fun along the way. Daybreak is an EQUAL OPPORTUNITY EMPLOYER

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a singularly creative and energetic engineer to spearhead our Acceleration team as its founding tech lead. We are revolutionizing the way people navigate the internet and the wider world. To continue building best-in-class products, we are reimagining how our company and our teams operate. Just as Perplexity is heralding an agentic future for the internet, you will lead our company in making the best use of AI tools and agents to multiply the leverage of our lean, mission-focused teams. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Tomorrow's AI technology will be even more capable, and the Acceleration team will lead both software and process engineering to harness AI so that the company can deliver at maximum velocity. The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today's most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow. They will provide hands-on technical leadership in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more. Responsibilities • Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity's delivery cadence with frontier AI capabilities., • Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals, toward collaborating with them to harness AI in new ways., • Make our codebases, systems, and knowledge stores legible to AI., • Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents., • Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same., • Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default., • Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment., • 6+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration at companies with millions of users and hundreds or thousands of engineers., • Daily use of AI models/tools, along with strong intuition on their jagged frontiers., • Proficiency with Python and working fluency with Typescript., • Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams., • Broad working knowledge of the typical stacks used by AI product & applied research companies. (For example: you don't need to have experience hand-rolling CUDA kernels, but you should know what CUDA is and when/where/why it's used.), • An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job Description Title: Senior Infrastructure & Security Engineer Duration: Contract Location: (Onsite) San Francisco, CA *Must be local to the San Francisco Bay area and work onsite at least 4 days per week. We are seeking a Senior Infrastructure & Security Engineer (Contract) to support both IT operations and enterprise security initiatives at our clients San Francisco Headquarters. This is an onsite consultant role (expected to be onsite at least 4 days/week). This role is designed for a senior-level professional with hands-on experience in infrastructure management and a strong focus on configuration assessments across SaaS platforms, cloud environments, and on-premise systems. The position reports directly to the Head of Infrastructure and Information Security and contributes to the reliability, security, and compliance of enterprise systems. Job Description: • Configuration & Security Assessments, • Perform configuration reviews and hardening assessments across SaaS applications, cloud services, and infrastructure components., • Identify misconfigurations and gaps in security posture; recommend and implement remediation strategies., • Maintain and evolve baseline configurations and compliance benchmarks aligned with internal policies and recognized standards., • Support vulnerability management and incident response efforts with configuration insights and forensic analysis., • Infrastructure Operations, • Administer and troubleshoot network components including switches, access points, routers, firewalls, and VPNs., • Manage virtualized environments and backup systems across hybrid infrastructure., • Support cloud migration efforts and ensure secure deployment patterns across public cloud platforms., • Collaborate with development and DevOps teams to ensure secure and scalable infrastructure design., • Security Engineering, • Implement and maintain endpoint protection, identity and access controls, and data loss prevention mechanisms., • Automate security controls and monitoring using scripting and orchestration tools., • 7 years of experience in IT infrastructure and security engineering., • Strong understanding of SaaS, cloud, and on-premise configuration management., • Proficiency in scripting languages (e.g., Python, PowerShell) and automation frameworks., • Experience with network architecture, virtualization, and cloud-native services., • Familiarity with compliance frameworks and security standards

Job Description Fullstack Engineer Location: Onsite San Francisco, CA (6 days/week, ~12 hours/day) Position Type: Full-Time (Permanent) Work Policy: Onsite (relocation dollars available only for exceptional candidates) Start Timeline: ASAP About This fast-scaling AI startup is automating enterprise customer support with elite accuracy and scalability. Their AI agents already resolve over 1 million support tickets monthly for a single customer and are trusted by top brands across industries including food delivery and crypto. Recently funded with a large Series A and backed by leading investors, the team is on track to power the next trillion voice interactions. Why join * Momentum: Multi-year contracts and rapid adoption across multiple industries * Ownership: Influence technical direction while working on cutting-edge ML projects * Growth: Collaborate with top-tier engineers and founders on transformative AI systems Compensation * Base Salary: $150,000 - $300,000 (average hires ~$160K -$170K base; equity potential pushes total comp toward $300K) * Equity: Offered * Notes: Relocation available for exceptional candidates; on-site interview travel at candidate’s expense Tech environment * Backend: Python (Django) * Frontend: Next.js, React, ShadCN * Cloud/Infra: AWS, Google Cloud, Kubernetes, Docker * Focus: LLM-based product development, scalable architecture, 01 product builds Role summary As a Fullstack Engineer, you will build and scale LLM-powered products from scratch, owning significant product lines and technical decisions. You’ll work directly with founders and a small, high-caliber team to ship at speed in a high-intensity environment. The role requires full on-site commitment in San Francisco, 6 days per week, ~12 hours per day during core build phases. Responsibilities * Rapidly contribute to and eventually own core product lines * Build and deploy LLM-based applications end-to-end * Design scalable, reliable, and secure systems for high-volume use cases * Collaborate with founders to translate product vision into launches * Write high-quality, maintainable code across backend and frontend systems Must-have qualifications * Current or past founding engineer, founder, or early employee at a successful, fast-growing startup (YC-backed or multi-round funded preferred) * Hands-on experience building and deploying LLM-based products from scratch * Proven 01 product development and scaling experience with exceptional code quality * Degree from a top 25 US university or IIT, or exceptional work experience in lieu of degree * Strong expertise in Python (Django) * Proficiency in Next.js, React, and ShadCN * Familiarity with AWS or Google Cloud (Kubernetes/Docker a plus) * Passionate, entrepreneurial mindset with grit to work long hours in a high-growth environment * 2-4 years of hands-on engineering experience * Willingness and ability to work onsite in San Francisco 6 days a week, ~12 hours a day Preferred qualifications * AI startup experience * Strong JavaScript skills alongside Python * Unique side projects or ML experiments (GitHub link strongly encouraged)

Job Description At Ouster, we design and manufacture LIDAR sensors for precision mapping, robotics, automotive, security systems, smart cities and various industrial solutions.. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! The Role: We're seeking a proactive and skilled engineer who thrives in a dynamic, fast-paced environment to be an integral part of our San Francisco hardware team. What You'll Do: • Contribute to the design, simulation, and optimization of complex electrical systems and circuits for cutting-edge industrial and automotive LIDAR applications., • Drive component selection, schematic capture, and PCB layout, ensuring optimal signal integrity, power integrity, EMC/EMI performance, and manufacturability (DFM)., • Hands-On bring-up and debugging of prototype hardware, efficiently identifying and resolving electrical issues., • Collaborate closely with firmware, mechanical, optical, and software engineering teams to ensure robust design and seamless system integration and performance., • Document and execute comprehensive engineering verification and validation (EVT) test plans that operate within design parameters and meet product requirements. What You'll Bring (Basic Qualifications): • Bachelor of Science in Electrical Engineering (BSEE) with 3+ years of experience, OR Master of Science in Electrical Engineering (MSEE) with 1+ years of experience in relevant hardware product development (e.g., industrial, automotive, robotics, etc)., • Understanding of hardware evaluation methodologies, including development of test cases/suites, performance monitoring, test automation, and data analysis., • Familiarity with test equipment such as oscilloscopes, logic analyzers and data acquisition systems., • Solid understanding and practical experience in high-speed digital and analog circuit design, signal integrity, power delivery, and noise suppression techniques., • Proficiency with processor architectures, digital logic, and common communication interfaces (e.g., I2C, UART, SPI, USB, MIPI, Ethernet)., • Experience driving the full design cycle: from schematic capture and PCB layout (Cadence, Altium, or similar) through to assembly and validation. Bonus Points: • Experience in a high-volume manufacturing environment., • Familiarity with automotive qualification processes and standards (e.g., AEC-Q100/200)., • Knowledge of Python or other scripting languages for test automation. A Note on Experience: We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR AyDAIKXK19

Job Description Tl;dr — Join Callidus, the most advanced legal generative‑AI platform, as a hands‑on Staff/Principal Full Stack Engineer. Work with state‑of‑the‑art AI, an experienced founder‑led team, and a fresh funding round. Competitive total comp. Hustle culture. San Francisco. About Callidus We are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way. Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission. More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team. We work hard, ship fast, and win together. Your Role We want highly talented engineers that want to be hands-on. We don’t want a bunch of managers. You’ll be an individual contributor Software Engineer (everyone at Callidus is a doer). Expect to: • Design, build, and maintain customer‑facing features end‑to‑end., • Engineer reliable, scalable Gen‑AI workflows (hybrid RAG, agents, chains of thought, etc.)., • Collaborate daily with lawyers and product to ship measurable user value., • Own projects like “ingest millions of PDFs and summarize the legally relevant findings for this case”., • Uphold code quality, security, and performance through reviews and automated tests. Seniority Level Hiring for Principal/Staff level Full-Stack engineers. Typically 7-15y post-college experience. This role will report to the Head of Engineering. Tech Stack • Cloud: Azure, • Backend: Python (FastAPI), Redis, Postgres, • Frontend: React / Next.js, Node What We’re Looking For Core Requirements • Full-stack engineering in Python + React/Next., • Proven record of shipping high‑quality products quickly., • Experience working with LLM APIs and prompt engineering., • Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.)., • Startup or LLM‑focused‑company experience., • Clear, concise communicator—low words : insights ratio., • Ownership mindset: you do what you say and surface risks early., • Ability to work well with ambiguity and low amounts of process., • Genuine excitement for AI and building category‑defining products., • Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.)., • Legal or LegalTech experience., • Strong DevOps skills on Azure (or AWS/GCP with quick ramp‑up)., • Personal use of AI tooling (Cursor, CoPilot, Midjourney, etc.)., • Automation and productivity‑hack side projects., • Engineering degree. Interview Process (fast!) • Calibration call with AI Fund sourcing manager, a recruiter, or our Head of Ops for an intake call., • Connecting with our Head of Engineering., • Meeting another engineer. Location • San Francisco, CA, • No relocation budget, but you are welcome to apply if you are willing to move to San Francisco even if you don't already live here. Compensation • Base Salary: $215,000 - $255,000, • Meaningful equity, • Comprehensive medical, dental, and vision coverage + Life Insurance, • PTO + company holidays Why Join Callidus? • Build on the cutting edge of the most transformative tech since . . . fire?, • Own significant pieces of product in an engineering‑led, high‑talent team., • Become one of the first 15 employees at a company poised for explosive growth., • Tackle high‑impact, technically hard problems that competitors avoid., • Reap outsized rewards in equity and professional growth. Callidus is an equal opportunity employer and does not discriminate on the basis of race, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering * Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. * Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. * Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. • Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster * RabbitMQ * AWS RDS PostgreSQL * Redis Cluster DevOps * Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. * Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. * Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) * Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). * Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. * Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management * AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. * Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. * Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership * Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. * Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. * Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution * Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. * Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: * Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. * Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. * Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise * Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. * Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. * Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. * Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE * CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. * Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). * Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills * Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. * Collaboration: Experience working directly with product engineers to improve workflows incrementally. * Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): * Familiarity with backend languages like Go or Rust. * AWS certifications (e.g., Solutions Architect, DevOps Engineer). * Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. * Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: * Competitive salary with future equity options * Opportunities to work with cutting-edge technologies and evolve our platform. * Flexible working hours and a remote-friendly environment. * Professional growth through certifications, conferences, and internal training. * Collaborative culture focused on innovation and operational excellence.

Job DescriptionBuild the context + orchestration layer for AI‑first revenue software Why Revic AI We’re building a collective intelligence layer for revenue teams—connecting messy, real‑world data into context that AI agents can learn from and act on autonomously. The goal: replace meta‑work with action that compounds revenue per rep—less digging through data and dashboards, more time moving pipeline. If you’re entrepreneurial and want to help define what AI‑native software looks like—how data becomes context, how agents plan and act, and how “chat” turns into outcomes—you’ll like building here. We ship in tight loops, learn in public, and measure by customer impact. Backed by SYN Ventures, we're working with customers like BigID and Modern Health. If this work gets you excited—and you want to leave a mark—let’s talk. What you’ll do * Create the collective memory. Ingest and unify data from many sources (CRM and far beyond) into a semi‑structured context graph that captures what leads to winning deals—modeled at multiple levels with strong tenant isolation. * Orchestrate agentic systems. Design planner/executor patterns, tools, and policies (including MCP‑style interfaces) that turn context into content and then into actions. Define simple eval harnesses to measure quality. * Deliver where users work. Expose capabilities through native surfaces (apps, chat, and integrations) in tight loops with product and GTM—reducing context switches and meta‑work. * Prove outcomes. With product and customers, define success metrics (e.g. tasks auto‑completed, adoption/retention, pipeline lift; keep latency in check) and wire observability so we can ship → learn → iterate quickly. * Balance cost & reliability. Tune accuracy, latency, and cost for agent runs and retrieval; design fallbacks and safeguards that keep the system dependable under real‑world load. What you’ll bring * Owner/builder mindset with product taste — you frame problems, choose the simplest path, and own outcomes. * 4+ years building & owning applications end-to-end, with 0→1 wins and measurable business impact. * Curious by default; comfortable taking smart risks and turning fuzzy problems into shipped outcomes. * You talk in terms of impact and trade-offs; decide with ~70% info; turn ambiguity into simple, testable systems. * Experience stitching messy, multi‑source data into something a product can reason over; strong instincts for reliability, privacy, and multi‑tenant boundaries. * Able to hit the ground running with React, Python and standing up cloud infrastructure. * Nice to have: exposure to agent orchestration/planning, retrieval/graph‑shaped context, eval frameworks, and distributed systems at scale. How we work * Outcome‑first. We anchor on the seller’s job; stay close to customers; success = adoption, pipeline quality, time‑to‑value. * Ship small, learn fast. Start simple; instrument; iterate with “sniff tests.” * High trust, high ownership. Own problems end‑to‑end and make product‑level decisions with the team. Our stack We build with: React/TypeScript, Python, FastAPI/GraphQL, PostgreSQL/DynamoDB, AWS, Kubernetes, Pulumi, Spark/Databricks, and event‑driven architectures. Familiarity helps, but isn’t required. Logistics & offer * Base salary: $100–$200k (based on experience) * Equity: meaningful ownership in a fast-growing company * Benefits: health, dental, vision * Location: Hybrid San Francisco, New York City, Vancouver — 3 days in‑office, 2 remote * Team: small, senior; big surface area and ownership