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Position Type: Regular At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Researcher on AI.x, you will play a key role in bringing these priorities to life by advancing cutting-edge AI research and developing innovative solutions. This role is more than a research position. It is an opportunity to join a high-profile team shaping Schwab’s future with AI, to create research that matters to millions of clients, and to grow your career in one of the most exciting areas of technology today. As an AI Researcher, AI.x you will design, investigate, and develop novel AI models across various ecosystems. You will be developing AI agents and creating quantitative measure of the effectiveness of AI solutions. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab’s enterprise strategy. You will help build strong scientific practices and foster a culture of continuous learning. You will lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab. Required Qualifications: • A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry, • 7+ years of experience in AI / ML research and development using Python, • 7+ years of experience building data pipelines and data analyses that interface with large datasets, • 3 + years of experience using Generative AI models to deliver business value, • Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and data visualization using Python, • Experience working with LLMs and shipping LLM-powered applications to production, • Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team., • Ability to solve complex problems with ambiguous or incomplete data, • Experience working with and mentoring engineers, through presentations, clear feedback and code reviews, • Curiosity about new technologies and processes – you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team., • Demonstrated mindset of continuous learning and improvement. At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our ___ approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive ___ that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan, • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions, • Paid parental leave and family building benefits, • Tuition reimbursement, • Health, dental, and vision insurance

Position Type: Regular At Schwab, you’re empowered to make an impact on your career and the financial industry. Here, innovative thinking meets creative problem solving as we challenge the status quo together. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the research platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a Sr Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, shaping how AI is safely and ethically deployed across our products and services. You’ll collaborate across research, engineering, product, legal, compliance, and risk teams to design technical guardrails, evaluation frameworks, and monitoring systems that set industry benchmarks for fairness, transparency, and trust. In this highly visible and cross-functional role, you will ensure Schwab’s AI systems set industry benchmarks for safety, fairness, and transparency. You’ll work closely with teams across research, engineering, product, legal, compliance, and risk to address complex and emerging challenges in responsible AI. This role offers significant opportunities to innovate—designing and implementing solutions for problems where established best practices may not yet exist—and to help shape the technical and organizational standards that guide Schwab’s AI systems. Your work will directly inform executive decision-making, regulatory engagement, and the development of trusted AI products at scale. What You’ll Do • Design and implement innovative methods for bias detection and develop technical guardrails aligned with ethical AI principles., • Collaborate with cross-functional teams to ensure Schwab’s AI systems meet regulatory and ethical standards. We’re looking for someone who thrives in ambiguity, is passionate about AI ethics, and enjoys solving complex challenges where no playbook exists. Required Qualifications • Master’s degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field, or equivalent experience., • 10+ years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts)., • Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability., • Experience with responsible generative AI challenges and risk mitigations., • Strong analytical, problem-solving, and communication skills for technical and non-technical audiences., • Curiosity and passion for AI policy and governance.Preferred Qualifications, • 7+ years of experience in AI/ML research and development using Python., • Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards., • Track record of publishing research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS)., • Experience working with LLMs and deploying LLM-powered applications to production., • Experience with adversarial testing, red-teaming, and risk assessment for AI deployments., • Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization., • Experience writing unit tests and building robust data pipelines. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our ___ approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive ___ that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan, • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions, • Paid parental leave and family building benefits, • Tuition reimbursement, • Health, dental, and vision insurance

Position Type: At Schwab, your career is more than a job—it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab’s AI Strategy & Transformation team (AI.x), you’ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We’re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You’ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab’s strategic goals, and mentor junior team members—cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you’ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You’ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. • Design, build, and deliver GenAI applications that elevate client experience and generate business impact., • Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines., • Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards., • Mentor and coach junior engineers, fostering strong practices and continuous learning., • Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment., • Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability., • Advance engineering standards, focusing on operational excellence and quality across all deliverables. Required Qualifications • 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations., • Bachelor’s degree in Computer Science or related field., • 5+ years building complex products from scratch, running them in production, and ensuring operational reliability., • 3+ years building applications leveraging AI models for measurable business impact., • 3+ years developing applications and data pipelines interfacing with large datasets., • Strong computer science fundamentals and experience across the tech stack., • Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production., • Commitment to quality—driving high standards and writing tests at all levels., • Experience writing and running evaluations for quality and consistency in LLM-generated output., • Strong written and verbal communication skills to clearly convey ideas and feedback., • Mentoring junior engineers and supporting their technical growth through code reviews and guidance., • Mindset of continuous learning and improvement., • Ability to solve complex problems with ambiguous or incomplete data in distributed systems., • Demonstrated business domain knowledge relevant to previous products., • Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement., • Experience with Python and front-end development preferred but not required. At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our ___ approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive ___ that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan, • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions, • Paid parental leave and family building benefits, • Tuition reimbursement, • Health, dental, and vision insurance

Requisition ID # 168321 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland Department Overview The Transmission System Planning (TSP) department performs Interconnection studies, multi-year assessments and develops a portfolio of transmission expansion plans and projects to meet the company's transmission needs for delivery of safe and reliable electric service to our customers while adhering to North American Electric Reliability Corporation (NERC) and Western Electricity Coordinating Council (WECC) planning standards. The members of TSP actively participate in the NERC and WECC standard development process for electric transmission reliability. The department is also involved in developing transmission expansion policy and strategy to meet the Company's RPS goals. In addition, the department provides support to project implementation groups, operations, law, contract and other internal departments. Position Summary This position is represented by the Engineers and Scientists of California (ESC) subject to collective bargaining. The Senior Advising Engineer is a recognized expert within their area of responsibility, and someone who can apply their extensive knowledge of engineering principles and practices and system analysis to develop creative solutions to complex problems. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. The salary range is: CA Minimum, $173,856 CA Maximum, $213,624 Job Responsibilities Basecase Preparation • Understand methodology, constantly seek improvements in the methodology and manage approval process for PG&E’s transmission load forecast., • Primary lead and/or advisor in developing complex models, • Primary lead/advisor in developing methodology and assumptions complex issues. Transmission System Studies • Develop innovative solutions for complex transmission issues, • Participate as lead transmission planner in multi-department project team to develop project scope for large, complex projects including interstate bulk transmission projects., • Lead WECC wide study or study groups, • Primary lead on inter-regional planning efforts, • Provide guidance on planning criteria, standards, and regulations Project Implementation • Lead in the implementation of projects involving inter-regional coordination including but not limited to path ratings and inter-regional RAS studies, settings and designs., • Lead in the implementation of projects that require complex permitting proceedings, including CPCN., • Compliance and Regulatory, • Support or lead compliance and regulatory audits as necessary, • Acts as a company witness/liaison/information provider to outside parties for project support or any other regulatory proceedings impacting PG&E business. Qualifications Minimum: • Bachelor’s degree in Electrical Engineering or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US, • 13 years of experience in electrical engineering Desired: • Experience in transmission planning studies, • Knowledge of PG&E’s electric transmission system, • Knowledge of NERC and WECC reliability standards, • Experience in system operations, engineering, asset strategy, or system protection, • Previous experience with GE PSLF Program or similar load flow program, • Experience in programming languages such as Matlab, Python, VBA, EPCL, • Current and active California PE license, Electrical Engineering, • Master’s degree in Electrical Engineering

Job DescriptionApplied AI Engineer We are hiring an Applied AI Engineer (you could also be a Founder, Product Engineer, Founding Engineer, Forward Deployed engineer or Technical Product Leader). This is a hands-on technical role for people who think in code, ship in weeks, and measure success in business impact. You'll work across multiple portfolio companies simultaneously, partnering with CPOs and CTOs to identify AI-native product opportunities, refactor legacy systems into AI-first architectures, and build the next generation of their products. You'll operate with the autonomy of a startup founder while leveraging the resources and portfolio access of a leading private equity firm. We're looking for true full-stack builders and product engineers. People who can own a product end-to-end, from identifying the opportunity to shipping the solution. You're equally comfortable talking product strategy with a CPO, architecting systems with a CTO, writing production code with engineers, and identifying business processes and outcomes in partnership with the COO that are ripe for automation. What you are doing: Embed & Build (50%) -You'll work across multiple portfolio companies in parallel, with engagements averaging six months. You're embedded as a builder with commit access: Build full-stack: Own the entire product surface, frontend, API, data layer, infrastructure. Ship complete features beyond just backend scripts -Refactor legacy to AI-first: Transform existing products and workflows into AI-native architectures. Identify where AI can replace, augment, or reimagine current functionality. -Prototype in days: Build working proof-of-concepts fast. AI assistants, workflow automation, predictive models, intelligent features, and whatever solves the highest-impact problem -Ship to production: Take prototypes to production-grade systems with proper testing, monitoring, and documentation. -Pair with engineers: Work alongside portfolio company developers, transferring knowledge through code review, pairing sessions, and building together. -Leave systems, not slides: When engagements evolve, you leave behind working software, documented code, trained teams, and playbooks Find & Shape Opportunities (20%) -Identify AI disruption opportunities: Analyze market dynamics, customer workflows, and competitive landscape to find where AI can create step-change product advantages -Partner with CPOs/CTOs: Work as a strategic thought partner to product and technical leadership, bringing an informed perspective on what's possible with AI -Scope and prioritize: Turn opportunities into concrete product roadmaps with clear milestones, success metrics, and resource requirements -Validate with customers: Get in front of customers to validate assumptions, understand pain points, and refine product direction -Assess legacy systems: Evaluate existing product architectures and identify the highest-leverage paths to AI-first transformation Discover & Evaluate Tools (15%) -Scout the AI landscape: Continuously discover, evaluate, and test new AI tools, frameworks, and platforms as the ecosystem evolves -Build the toolkit: Curate and maintain a best-in-class set of AI development tools, MCP servers, and reusable components for deployment across the portfolio -Benchmark and recommend: Run structured evaluations of new tools against real portfolio use cases; make clear recommendations on what to adopt, what to skip -Stay at the frontier: Be the person who knows what shipped last week and what's coming next month in AI tooling Train & Enable Teams (15%) -Train on AI best practices: Teach portfolio company teams how to build with AI. Prompt engineering, model selection, RAG architectures, agent design, evaluation methods -Level up dev workflows: Train engineers on AI-native development using Cursor, Claude Code, and similar tools; transform how they write, review, and ship code -Create learning resources: Build playbooks, workshops, and documentation that portfolio teams can use long after your engagement -Productize patterns: Turn solutions into reusable templates and frameworks deployable across the portfolio -Raise the bar: Leave every team more capable of building with AI than when you arrived What you need: -You ship complete products from frontend to infrastructure -AI-native developer: You're a power user of Cursor, Claude Code, or similar. You don't just use autocomplete; you use AI to architect, debug, refactor, and ship 10x faster -MCP & extensibility fluent: You understand the Model Context Protocol and build custom tools, skills, and MCP servers to make AI agents useful for real workflows -Context Engineering: You go beyond RAGs for other techniques that provide consistent memory and find methods to create consistent deterministic output -Tool scout: You're obsessed with finding and testing new AI tools. You know what's shipping across the ecosystem and have opinions on what's worth using -Product thinker: You can identify market opportunities, understand customer needs, and translate them into product strategy, not just code -Legacy modernizer: You've transformed existing systems into modern architectures. You know how to incrementally refactor without breaking production -Teacher: You can explain complex AI concepts clearly and train teams to adopt new tools and practices -Adaptive & autonomous: You thrive juggling multiple companies and contexts. You can context-switch, prioritize, and deliver across parallel engagements -Travel-ready: Willing to spend significant time on-site with portfolio companies Preferred Experience: -Being a founder -Background in consulting, PE/VC backed tech -Familiarity with B2B SaaS business models and metrics (ARR, NRR, LTV/CAC) -Experience with enterprise systems (Salesforce, NetSuite, Zendesk) and their APIs -Technical Toolkit AI Development: Cursor, Claude Code, GitHub Copilot, you live in AI-assisted IDEs and know how to get maximum leverage -AI Infrastructure: MCP servers, custom skills/tools, agent frameworks, RAG pipelines, vector databases, LangChain/LlamaIndex -LLM APIs: OpenAI, Anthropic, and the judgment to choose the right model for the job -Full Stack: React/Next.js, Node.js, Python, TypeScript, SQL, REST/GraphQL Data: Modern data pipelines, ETL/ELT, dbt, analytics engineering Infrastructure: AWS/GCP/Azure, Docker, CI/CD, infrastructure-as-code Benefits -Health Coverage -Great PTO plan! -Retirement Benefits • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 04/05/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

SUMMARY/JOB PURPOSE: Protect the organization's digital infrastructure, data, and systems from internal and external cybersecurity threatsby implementing, managing, and continuously improving security practices, tools, and operations with a focus on cloud applications and infrastructure. ESSENTIAL DUTIES/RESPONSIBILITIES: • Improve the organization's security posture by identifying weaknesses and vulnerabilities in its security infrastructure and implementing solutions to address them., • Integrate with various teams on technology initiatives to improve security of our systems and operations., • Assist in investigating and responding to security events and incidents, such as malware infections, unauthorized access attempts, and other potential security breaches. Determine best procedures to contain threats, document findings, and escalate issues as needed., • Monitor and analyze security logs and events from various sources., • Stay current with the latest threat landscape, emerging trends, and solutions in cybersecurity to proactively identify and mitigate potential security risks., • Improve the organization's security posture by identifying weaknesses and vulnerabilities in its security infrastructure and implementing solutions to address them., • Assist with and provide cyber expertise to internal staff, vendors, and partners on security practices and issues., • Follow industry and Exelixis best practices and procedures in a SOX and an FDA regulated environment. SUPERVISORY RESPONSIBILITIES: • No supervisory responsibilities. EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: • Bachelor's degree in related discipline and 7 years of related experience; or, • Master's degree in related discipline and 5 years of related experience; or, • Equivalent combination of education and experience, • CISSP, CISM, CEH, OSCP, GIAC or similar cybersecurity certification preferred Experience: • Experience with operation and implementation of cybersecurity tools., • Experience in designing, implementing, and managing security controls within cloud platforms, such as IAM, VPC, Zero Trust principles, IaC, IAAS, Security Groups, Key Management Services, SDLC, Ci/Cd pipelines and Network Security., • Experience in IT Security or related infrastructure administration role in an enterprise environment. Technical lead experience is preferred., • Experience in investigations and response to cyber events and incidents., • Experience in enhancing organizational security awareness and resilience., • Experience with cloud, system, and application security., • Experience administering IT systems., • Experience working in Agile environments and using ticketing systems (e.g., JIRA, JSM)., • Experience in regulated industries (e.g., biotech, pharma) with knowledge of GxP and SOX compliance preferred., • Preferred: AWS Certified Security - Specialty Knowledge, Skills and Abilities: • Strong knowledge of general IT applications and infrastructure., • Advanced knowledge of CLI and scripting language experience (Python, PowerShell, etc..), • Advanced knowledge of AWS, • Advanced knowledge of IAC, SDLC, Ci/Cd pipelines, • Advanced knowledge of cybersecurity technologies and concepts., • Strong analytical, problem solving, organizational, and communication skills., • Abilitytoworkeffectivelywithcustomerstosolvebusinesschallengeswhilebalancingtheneedforconfidentiality,integrity,andavailability., • Ability to multitask and work collaboratively., • Ability to work with ambiguity., • Ability to work with confidential data., • Ability to continuously learn and improve., • Ability to work with minimal guidance, to adapt to frequent priority changes, and response to ad-hoc requests, • Architect secure cloud infrastructure using guardrails and golden paths using IaC patterns across AWS and Azure., • Integrate SAST, SCA, DAST, and dependency scanning into GitHub pipelines and provide help and support for mitigating risks across the SDLC. Work Environment/Physical Demands: Our office is a modern, open space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. • Occasional travel (5%)., • On-call availability for critical escalations. #LI-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $148,000 - $210,500 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

SUMMARY/JOB PURPOSE : Protect the organization's digital infrastructure, data, and systems from internal and external cybersecurity threatsby implementing, managing, and continuously improving security practices, tools, and operations with a focus on cloud applications and infrastructure. ESSENTIAL DUTIES/RESPONSIBILITIES: Improve the organization's security posture by identifying weaknesses and vulnerabilities in its security infrastructure and implementing solutions to address them. Integrate with various teams on technology initiatives to improve security of our systems and operations. Assist in investigating and responding to security events and incidents, such as malware infections, unauthorized access attempts, and other potential security breaches. Determine best procedures to contain threats, document findings, and escalate issues as needed. Monitor and analyze security logs and events from various sources. Stay current with the latest threat landscape, emerging trends, and solutions in cybersecurity to proactively identify and mitigate potential security risks. Improve the organization's security posture by identifying weaknesses and vulnerabilities in its security infrastructure and implementing solutions to address them. Assist with and provide cyber expertise to internal staff, vendors, and partners on security practices and issues. Follow industry and Exelixis best practices and procedures in a SOX and an FDA regulated environment. SUPERVISORY RESPONSIBILITIES: No supervisory responsibilities. EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education : Bachelor's degree in related discipline and 7 years of related experience; or Master's degree in related discipline and 5 years of related experience; or Equivalent combination of education and experience CISSP, CISM, CEH, OSCP, GIAC or similar cybersecurity certification preferred Experience: Experience with operation and implementation of cybersecurity tools. Experience in designing, implementing, and managing security controls within cloud platforms, such as IAM, VPC, Zero Trust principles, IaC, IAAS, Security Groups, Key Management Services, SDLC, Ci/Cd pipelines and Network Security. Experience in IT Security or related infrastructure administration role in an enterprise environment. Technical lead experience is preferred. Experience in investigations and response to cyber events and incidents. Experience in enhancing organizational security awareness and resilience. Experience with cloud, system, and application security. Experience administering IT systems. Experience working in Agile environments and using ticketing systems (e.g., JIRA, JSM). Experience in regulated industries (e.g., biotech, pharma) with knowledge of GxP and SOX compliance preferred. Preferred: AWS Certified Security - Specialty Knowledge, Skills and Abilities: Strong knowledge of general IT applications and infrastructure. Advanced knowledge of CLI and scripting language experience (Python, PowerShell, etc..) Advanced knowledge of AWS Advanced knowledge of IAC, SDLC, Ci/Cd pipelines Advanced knowledge of cybersecurity technologies and concepts. Strong analytical, problem solving, organizational, and communication skills. Abilitytoworkeffectivelywithcustomerstosolvebusinesschallengeswhilebalancingtheneedforconfidentiality,integrity,andavailability. Ability to multitask and work collaboratively. Ability to work with ambiguity. Ability to work with confidential data. Ability to continuously learn and improve. Ability to work with minimal guidance, to adapt to frequent priority changes, and response to ad-hoc requests Architect secure cloud infrastructure using guardrails and golden paths using IaC patterns across AWS and Azure. Integrate SAST, SCA, DAST, and dependency scanning into GitHub pipelines and provide help and support for mitigating risks across the SDLC. Work Environment/Physical Demands : Our office is a modern, open space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. Occasional travel (5%). On-call availability for critical escalations. #LI-EZ1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $148,000 - $210,500 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Job Purpose: BTIG is seeking an Associate who will help lead and evolve the governance engine of a global, mid-sized investment bank to support our next phase of growth. You will report directly to the CISO and be responsible for security assurance, compliance operations, and technology risk management. You will help maintain control readiness, perform testing and evidence collection, and support risk and vendor assessments for internally developed systems and SaaS applications. Your work will directly protect the firm's reputation and enable its business. We don’t expect you to know every regulatory framework on day one. We do expect you to write exceptionally well, ask smart questions, and possess the grit to see difficult tasks through completion. Duties & Responsibilities: IT Governance, Risk and Compliance (GRC) • Third-Party Risk Management (TPRM): Own the vendor security review process. You will assess third-party vendors to ensure compliance with the firm's standards, requiring understanding of our core business processes, attention to detail, and the persistence to chase down answers. Obtain and meticulously review SOC reports (e.g., SOC 1, SOC 2) for critical third-party service providers, evaluating their adherence to 'Complementary Controls at User Entities' and ensuring our internal alignment., • Client & Regulatory Due Diligence: Support the completion of external security questionnaires. You will articulate BTIG’s security posture to institutional clients and regulators, translating technical controls into clear, professional narratives., • IT Controls & Audit Collaboration: Assist with internal SOX IT controls audits and access control reviews across our technology stack, including in-house developed systems and third-party SaaS platforms. You will work with engineering teams to verify that permissions are correct and ensure evidence is gathered efficiently. Actively participate in external IT audits, specifically focusing on validating and documenting controls related to access management, change control, and system operations for key systems that handle financial data., • Policy Development: Assist in drafting and maintaining information security policies and procedures., • Perform risk assessments and gap analyses for IT systems that handle PHI and financial data., • Automate and monitor controls through scheduled reviews, scripts, or tooling to reduce manual effort and improve coverage., • AI Governance: Support the CISO in defining the guardrails for Generative AI that balance innovation with risk (e.g., data leakage, appropriate use)., • Education: Bachelor’s degree in a related field or equivalent experience. While not required, preferred certifications include Security+, CISA, CRISC, or CISSP., • Experience: 2–4 years of experience in IT Governance, Risk & Compliance (GRC), IT Security Risk Management, Risk Audit, Data Privacy Investigation, Technology Risk, and/or Information Security (ideally with a background in Financial Services)., • Security Framework Knowledge: Working familiarity with standard security frameworks such as NIST CSF, ISO 27001/27002, COBIT, SOC 2 type 2 and CIS controls, etc., • Analytical Skills: Experience reviewing IT solution requirements and implementing security controls. Strong analytical and risk assessment skills with the ability to design compensating controls for security vulnerabilities and assess business impact of security tools and policies., • General Technical Proficiency: Microsoft Office 365 and associated applications; Excel, Teams, Forms, PowerQuery, etc., • Growth Mindset: You are resilient and don't get discouraged by manual processes; you look for ways to optimize them., • Communication: Excellent written communication is non-negotiable. You must be able to explain complex technical risks to non-technical stakeholders clearly and concisely., • AI Familiarity: Demonstrated interest or experience with LLMs (ChatGPT, Claude, Copilot). Experience with prompt engineering or Python scripting for automation is highly valued., • Must be authorized to work full time in the U.S., BTIG does not offer sponsorship for work visas of any type BTIG is a global financial services firm specializing in institutional trading, investment banking, research and related brokerage services. With an extensive global footprint and more than 700 employees, BTIG, LLC and its affiliates operate out of 20 cities throughout the U.S., and in Europe, Asia and Australia. BTIG offers execution, expertise and insights for equities, equity derivatives, ETFs and fixed income, currency and commodities. The firm’s core capabilities include global execution, portfolio, electronic and outsource trading, investment banking, prime brokerage, capital introduction, corporate access, research and strategy, commission management and more. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. BTIG is an equal opportunity employer Minorities/Females/People with Disabilities/Protected Veterans/Sexual Orientation/Gender Identity. Compensation: • BTIG offers a competitive compensation and benefits package. Salary range is based on a variety of factors including, but not limited to, location, years of applicable experience, skills, qualifications, licensure and certifications, and other business and organization needs.

Frontend Engineer — Alex (via Dynamism) San Francisco, CA · In-person, 5 days/week $160k–$220k + equity, health insurance, unlimited PTO Why Alex? Alex.com (formerly Apriora) is building an AI recruiter that conducts live two-way video and phone interviews autonomously. Founded in San Francisco in 2023, Alex has grown to a team of around 30 and raised $20M to date, including a $17M Series A led by Peak XV Partners and seed backing from 1984 Ventures. The company is backed by Y Combinator, Uncorrelated Ventures, Dalton Caldwell, and Fortune 500 CHROs. The traction is real. Alex now runs 5,000+ interviews per day, has a 92% five-star candidate rating, a 90%+ interview completion rate, and operates 24/7 — with 48% of interviews taking place outside normal business hours. Customers include Fortune 100 companies, global banks, Big Four accounting firms, and nationwide restaurant chains. The product sits at a rare intersection of real-time conversational AI, voice, video, enterprise software, and hiring infrastructure. Alex supports 26+ languages, runs technical interviews including Python and system design, integrates with 30+ ATS platforms (Workday, SuccessFactors, Bullhorn), and is building fraud detection and bias auditing infrastructure at enterprise scale. Small team, large ambitions, unusually rich product surface. About the role We're hiring a Frontend Engineer to build the product experiences that candidates and hiring teams interact with every day. The right person cares about quality, speed, responsiveness, and how things feel in the hands of real users. You'll work across both sides of the platform — the candidate interview experience and the employer-facing workflows where customers review and act on interview outputs. The scale of the problem 🧠 5,000+ AI interviews/day · 26+ languages · 30+ ATS integrations · Fortune 100 customers with strict SLAs What you'll work on • Candidate-facing interview flows across video, phone, and real-time conversational UI, • Employer-facing product experiences for reviewing interview outcomes and candidate signal, • Speed, responsiveness, and perceived performance across core workflows, • Reusable frontend patterns and components that improve consistency across the product, • Interfaces for multilingual experiences, fraud signals, and workflow-heavy enterprise tools, • Close partnership with the founders and the rest of the team to ship quickly What we're looking for • Strong JavaScript and TypeScript fundamentals, • Deep React experience, • Strong product sense and attention to UX detail, • Experience building polished, high-quality user-facing software, • Good judgment on when to move fast and when to go deeper, • Based in SF or ready to relocate — fully in-person Nice to have: • Experience with Node, Next.js, or adjacent full stack work, • Interest in performance and frontend architecture, • Startup experience, • Familiarity with complex workflow or data-rich product surfaces You'll work on software that users interact with directly, in moments that actually matter, inside a small team where your work will be highly visible. What you'll get • Meaningful ownership from early on, • Close collaboration with the founders, • $160k–$220k + equity, health insurance, unlimited PTO, and company events Apply via LinkedIn — Dynamism will make a direct intro to the Alex founding team. Your first conversation will be with Alex, their AI recruiter.

About Alterion Alterion is building the control plane for the agentic enterprise - enabling organizations to safely deploy, monitor, and scale autonomous AI agents with full visibility and governance. Our platform unifies semantic observability, dynamic policy enforcement, and distributed monitoring to ensure agent ecosystems remain trustworthy, compliant, and efficient at scale. As part of this mission, the Intelligence Platform is responsible for understanding, scoring, and optimizing agent behavior across the enterprise — including accuracy, security, cost, drift, anomalous behavior, and runtime dynamics. Role Overview We are seeking a Senior Full Stack Engineer to design, build, and own core backend and distributed systems that power Alterion’s platform. This is a hands-on technical leadership role for a senior systems engineer who enjoys building durable infrastructure, making principled design tradeoffs, and mentoring other engineers. You will work closely with the founders on system architecture and technical direction, while remaining directly accountable for production code. This is not a people-management role; technical ownership and execution are core expectations. What You’ll Work On • Design and implement backend and distributed systems supporting identity, policy enforcement, observability, and agent lifecycle management, • Build secure, scalable APIs and services that operate reliably in multi-tenant, cloud-native environments, • Make and document system design tradeoffs across consistency, performance, availability, and operational complexity, • Own backend services end to end, from initial design through production deployment, monitoring, and iteration, • Establish backend engineering standards for correctness, testing, observability, and long-term maintainability, • Lead design reviews and mentor engineers through code reviews and technical guidance, • Collaborate closely with security, AI, and product partners to translate platform requirements into robust system designs Required Qualifications • 5–8 years of experience building and operating backend or distributed systems in production environments, • Strong proficiency in one or more backend languages such as TypeScript, Python, or Go, • Experience designing and operating cloud-native services on AWS, GCP, or Azure, • Solid understanding of distributed systems fundamentals, including scalability, fault tolerance, data consistency, and observability, • Experience designing APIs and service boundaries for complex or evolving systems, • Demonstrated ownership of critical systems with responsibility for reliability, performance, and long-term health, • Experience mentoring other engineers or serving as a technical lead on backend or platform projects, • Comfort operating in ambiguous, early-stage environments and helping shape system direction Preferred Qualifications • Experience with event-driven architectures, message queues, or streaming systems, • Familiarity with identity, authentication, authorization, or policy-based systems, • Exposure to security-sensitive, compliance-oriented, or multi-tenant platforms, • Experience operating systems at meaningful scale (high request volume, large datasets, or multi-region deployments), • Strong production observability practices across metrics, logs, and traces, • Prior experience at an early-stage startup or on foundational infrastructure teams, • Exposure to AI-adjacent systems or data pipelines (nice to have, not required) Why Alterion • Build foundational infrastructure for the next generation of AI systems, • Work directly with the founders on architecture and long-term technical direction, • Own meaningful, high-impact systems from day one, • Join a small, senior team that values depth, judgment, and quality, • Competitive compensation, meaningful equity, and the opportunity to shape a new category

Aeonsemi is a pre-IPO chip design company at the forefront of high-speed data communication for Physical AI. Backed by tier-one venture firms and in rapid revenue growth, we design customer-proven synchronous Ethernet networking and timing solutions that address the critical needs of secure data connectivity, robust timing synchronization, and efficient energy delivery — from AI edge nodes, autonomous systems to hyperscale data centers. Analog/mixed-signal Design Engineer Responsibilities You will be working with a team of designers to design high performance RF/Analog/mixed-signal circuits for high-speed wireline transceiver products using advanced CMOS technologies. · Block level architecture design · Schematic design, simulation, behavioral modeling, validation plan · Supervise layout engineer and hands-on layout of critical paths when needed · Lab characterization Qualifications · MS or Ph.D in electrical engineering with minimum 2 years of experience · Knowledge of analog fundamentals: biasing circuits, clock generation and/or data converters · Proficient in Cadence design environment · Good communication skills Additional Helpful Qualifications · Proficient in Python or other programming language . Basic proficiency with signal processing . Interest in developing full-stack skills spanning mixed-signal design, simulation and modeling, and production test flows (software/firmware debug) We offer · Great team work environment with excellent career growth opportunities · Competitive salary, attractive stock option · Competitive benefit package with health care, dental, 401k etc.

Job Title: Senior Hardware Verification & Validation Engineer (PCIe) About the Role: We are seeking an experienced and highly technical Hardware Verification & Validation Engineer to drive the end-to-end testing of our cutting-edge ASIC designs. In this dynamic role, you will bridge the gap between pre-silicon verification and post-silicon lab validation. You will architect robust UVM testbenches for next-generation PCIe interfaces and lead hands-on silicon bring-up in the lab. If you have deep expertise in high-speed IO and thrive in cross-functional debugging environments, we want you on our team. Key Responsibilities: Pre-Silicon Verification (PCIe Focus) • Verification Planning: Architect and execute comprehensive verification plans for PCIe Switch, Root Complex, and Endpoint configurations., • Testbench Development: Build and scale UVM-based environments from scratch to rigorously test complex PCIe protocol behaviors, including LTSSM transitions and link training., • Performance Verification: Leverage advanced simulation and emulation platforms to ensure high-performance throughput and strict protocol compliance across PCIe Gen 4, Gen 5, and Gen 6., • Cross-Functional Debug: Partner closely with RTL design, architecture, and software teams to root-cause and rapidly resolve functional failures. Key Responsibilities: Post-Silicon Validation & Labs • Silicon Bring-up: Lead the initial power-on, initialization, and functional testing of high-speed IO interfaces, with a specific focus on PCIe Gen 5/6., • Lab Validation: Utilize high-end laboratory equipment—including oscilloscopes, Bit Error Rate Testers (BERTs), and protocol analyzers—to validate electrical and functional correctness., • Failure Analysis: Reproduce complex silicon bugs in a physical lab environment and perform deep root-cause analysis to remediate hardware issues., • Validation Automation: Develop and maintain robust automation frameworks using Python or C++ to streamline large-scale validation workflows and data collection. Qualifications • Education: BS or MS in Electrical Engineering, Computer Engineering, or a closely related technical field., • Experience: 6–8+ years of hands-on, proven experience in ASIC development, pre-silicon verification, or post-silicon system validation., • Protocol Expertise: In-depth, structural knowledge of all PCIe protocol layers (Physical, Data Link, and Transaction)., • Programming Skills: Strong coding proficiency in Python, C/C++, and SystemVerilog., • Tools & Environments: Solid familiarity with Linux environments and standard hardware debugging tools (e.g., JTAG, GDB, Trace32).

Technical Support Engineer Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Role As a Technical Support Engineer at Odoo, you will deliver technical solutions and support to help drive success for our SMB customers across North America. You'll collaborate with cross-functional teams to resolve complex challenges while serving as a trusted customer advisor. We're seeking a problem solver who can combine strong programming skills, empathy, and excellent communication to help businesses thrive. The ideal candidate understands business processes and can effectively translate technical solutions for various audiences. Responsibilities: • Own and resolve support tickets (customer-reported problems and bugs) for Odoo tools and services, • Investigate technical issues by identifying root causes, describing symptoms, quantifying scope, and proposing both short-term fixes and long-term solutions, • Collaborate with cross-functional teams to resolve customer and partner technical challenges, • Serve as a technical advisor to customers and partners, effectively communicating product value to both technical and non-technical audiences, • Manage enterprise customer support across SaaS, PaaS, and self-hosted environments while delivering excellent customer experience, • Develop solutions using Bash, Python, JavaScript, and PostgreSQL, • Document resolved issues and implement solutions across customer environments to enhance knowledge sharing and continuous improvement Qualifications and Requirements: • Bachelor's degree in Computer Science, Engineering, or related field, • Experience with Bash, Python, JavaScript, and database scripting (PostgreSQL preferred), • Knowledge of ERP systems (CRM, Accounting, Inventory, POS), • Strong problem-solving skills with the ability to translate technical concepts for diverse audiences, • Effective communication and collaboration skills with team members, partners, and customers Nice to have: • 1-3 years of professional experience (technical support preferred), • Experience with Odoo or similar ERP systems, • Background in SaaS or startup environments, • Experience working with Unix/Linux platforms, • A proactive learning mindset with a focus on continuous improvement, • Additional language skills (Spanish, French, or Portuguese preferred) Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, FSA, HSA Matching, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $90,000-$105,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Job Title: Senior Hardware Verification & Validation Engineer (PCIe) About the Role: We are seeking an experienced and highly technical Hardware Verification & Validation Engineer to drive the end-to-end testing of our cutting-edge ASIC designs. In this dynamic role, you will bridge the gap between pre-silicon verification and post-silicon lab validation. You will architect robust UVM testbenches for next-generation PCIe interfaces and lead hands-on silicon bring-up in the lab. If you have deep expertise in high-speed IO and thrive in cross-functional debugging environments, we want you on our team. Key Responsibilities: Pre-Silicon Verification (PCIe Focus) • Verification Planning: Architect and execute comprehensive verification plans for PCIe Switch, Root Complex, and Endpoint configurations., • Testbench Development: Build and scale UVM-based environments from scratch to rigorously test complex PCIe protocol behaviors, including LTSSM transitions and link training., • Performance Verification: Leverage advanced simulation and emulation platforms to ensure high-performance throughput and strict protocol compliance across PCIe Gen 4, Gen 5, and Gen 6., • Cross-Functional Debug: Partner closely with RTL design, architecture, and software teams to root-cause and rapidly resolve functional failures. Key Responsibilities: Post-Silicon Validation & Labs • Silicon Bring-up: Lead the initial power-on, initialization, and functional testing of high-speed IO interfaces, with a specific focus on PCIe Gen 5/6., • Lab Validation: Utilize high-end laboratory equipment—including oscilloscopes, Bit Error Rate Testers (BERTs), and protocol analyzers—to validate electrical and functional correctness., • Failure Analysis: Reproduce complex silicon bugs in a physical lab environment and perform deep root-cause analysis to remediate hardware issues., • Validation Automation: Develop and maintain robust automation frameworks using Python or C++ to streamline large-scale validation workflows and data collection. Qualifications • Education: BS or MS in Electrical Engineering, Computer Engineering, or a closely related technical field., • Experience: 6–8+ years of hands-on, proven experience in ASIC development, pre-silicon verification, or post-silicon system validation., • Protocol Expertise: In-depth, structural knowledge of all PCIe protocol layers (Physical, Data Link, and Transaction)., • Programming Skills: Strong coding proficiency in Python, C/C++, and SystemVerilog., • Tools & Environments: Solid familiarity with Linux environments and standard hardware debugging tools (e.g., JTAG, GDB, Trace32).

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

We’re looking for an Applied AI Engineer to join our Engineering team to design, build, evaluate, and deploy intelligent AI systems that power enterprise workflows, autonomous assistants, and machine-assisted task automation. This role is based out of our US office and comes with competitive pay and practical benefits for you and your family. We’re looking for strong problem solvers who’ve shipped impactful AI-driven functionality before and can scale our platform intelligence with quality and ownership. What you'll do — responsibilities • Design, build, and fine-tune transformer-based and retrieval-augmented models for natural language understanding, intent classification, summarization, and context-aware reasoning., • Develop AI components that power automated knowledge search, semantic retrieval, agentic task orchestration, and conversational assistants., • Integrate AI systems with production data pipelines in a scalable and secure way., • Build evaluation pipelines, define metrics, and establish performance and reliability benchmarks for AI features., • Collaborate with engineering, data, and product teams to productize models with observability, monitoring, and continuous improvement., • Participate in code reviews, architecture discussions, and cross-team problem solving., • Take end-to-end ownership of features — from problem definition to deployment and performance monitoring. What we’re looking for (qualifications) • Strong programming experience in Python and familiarity with ML/AI frameworks like PyTorch or TensorFlow., • Hands-on experience with transformer-based models (LLMs), embeddings, vector search, and retrieval augmentation., • Experience building or integrating semantic search, RAG, or multi-agent workflows., • Demonstrated ability to build reliable ML/AI systems in production environments., • Understanding of scalable backend systems, cloud infrastructure, and model serving techniques., • Good software engineering practices: clean code, testing, version control (Git), and collaboration., • Curious mindset, product empathy, and willingness to learn new technologies quickly., • We don’t require specific degrees — practical skills, curiosity, and ownership matter most. Why we are different (culture) As part of Atomicwork, you can shape our company and business from idea to production. Our cultural values set the bar high and help us create a better workplace for everyone. Agency: Be self-directed and take initiative. Taste: Hold a high bar — sweat the details and build with care. Ownership: Take full responsibility for wins and setbacks. Mastery: Commit to continuous learning and improvement. Impatience: Move with urgency towards outcomes. Customer Obsession: Put customer value at the heart of every decision.

We are seeking a highly technical Technical Analyst to support mobile application monitoring, analytics, and platform engineering initiatives. This role sits at the intersection of native mobile development, observability, and automation, and will play a key role in scaling monitoring capabilities across a large enterprise environment. This individual will act as a subject matter expert for mobile applications, while contributing to tooling, integrations, and automation to improve operational efficiency and visibility. Key Responsibilities Mobile Application Support • Serve as a technical resource for iOS and Android applications, • Support SDK integrations and provide implementation guidance, • Partner with engineering teams to troubleshoot issues and analyze app behavior, • Assist with event tracking, validation, and data capture, • Support onboarding and ensure application stability and performance, • Build automation scripts and internal tools to reduce manual effort, • Develop and maintain API integrations across systems, • Support dashboard development for application performance visibility, • Support rollout of monitoring solutions across applications, • Assist with JavaScript tagging and front-end implementations, • Contribute to prototyping and new solution development, • Leverage AI-assisted tools to improve workflows, • 3–5 years in mobile development or platform engineering, • Experience with iOS (Swift/SwiftUI) or Android (Kotlin), • Strong understanding of mobile architecture, SDK integrations, and performance troubleshooting, • Experience with scripting/automation (Python, shell), • Experience with REST APIs, JSON, and data handling, • Experience with monitoring/analytics tools, • Familiarity with dashboards and visualization tools, • Exposure to hybrid mobile apps, • Experience in enterprise or regulated environments, • Familiarity with CI/CD and developer workflows

Manufacturing Operations Specialist (Contract – Day Shift) Location: San Francisco, CA (100% Onsite) Duration: 6 Months (Potential Extension/Conversion) Responsibilities • Follow all safety guidelines, including specialized safety procedures as required, • Operate, maintain, and support a variety of manufacturing equipment and production stations, • Develop and revise SOPs and work instructions to support consistent operations, • Partner with engineers to execute experiments (DOEs), collect data, and document results, • Assist with equipment qualification activities (e.g., repeatability, basic measurement studies), • Support training of production staff on new and existing tools/processes, • Track production issues, log feedback, and perform basic troubleshooting on assembly/test systems, • 5+ years of experience in manufacturing, production, or engineering technician roles, • Strong hands-on experience with equipment operation and process support, • Experience writing or updating technical documentation (SOPs/work instructions), • Familiarity with Microsoft Office; basic exposure to Linux is a plus, • Solid problem-solving, communication, and organizational skills, • Experience with LiDAR or similar sensing/optical technologies, • Exposure to SQL, JMP, JIRA, or basic Python

Site Reliability Engineer (SRE) | San Fran Bay Area | Hybrid, 2 days in Fremont Office We’re partnering with a technology-driven organisation modernising its infrastructure and operations. They’re hiring an experienced Site Reliability Engineer to help transition from legacy systems to modern, automated, Infrastructure-as-Code environments. What You’ll Do • Build automation software in Python for cloud infrastructure, • Drive Infrastructure as Code adoption using Terraform, • Implement configuration management (Ansible/SaltStack), • Improve CI/CD pipelines, monitoring, and system reliability, • Participate in a sustainable on-call rotation What You’ll Bring • 3+ years’ experience in AWS and/or GCP production environments, • Strong Python and Linux skills, • Hands-on Terraform and IaC experience, • Experience with CI/CD and configuration management tools, • Collaborative mindset and interest in solving complex problems Why Apply • High-impact role with real ownership, • Opportunity to modernise and automate at scale, • Strong technical challenges and growth potential

Our client is one of the most exciting companies in robotics right now. Founded by a repeat unicorn founder with multibillion dollar exits, they've raised over half a billion dollars to pursue a single audacious mission: a helpful robot in every home. Their lean, elite team of ~70 comes from Tesla, OpenAI, Google, Cruise, and Pixar. The best in the world, building something the world has never seen. The Role You'll own the full stack of a unified multimodal foundation model, from pretraining to deployment on real robotic hardware. This is foundational research with direct physical impact. No hand-offs, no bureaucracy, just hard problems and the resources to solve them. What You'll Do • Design and train large-scale multimodal architectures where vision, language, and kinematics share a unified representation, • Research and implement genuine cross-modal reasoning, not shallow associations, • Run end-to-end training loops: data curation, experiment design, failure diagnosis, and iteration, • Deploy models directly onto robotic hardware and optimize for edge inference What You Bring • Strong Python, C++, or Rust, • A proven track record training and deploying large-scale multimodal models in production, • Deep fluency in LLM pretraining, post-training, and RL at scale, • Comfort owning very large GPU cluster experiments from start to finish Why This The problems are unsolved. The team is world-class. The funding is exceptional. If you want to do the most consequential work in embodied AI right now, with the people and resources to actually ship it, this is the role.

About WealthyMinds AI WealthyMinds AI is an early-stage startup building AI-native products for the wealth management industry. We use Gen AI, large language models, and intelligent automation to help financial advisors, RIAs, TAMPs, and private banks deliver smarter, more personalized financial guidance at scale. Because we operate in financial services, security, compliance, and quality are not afterthoughts. They are foundational to everything we build. We are looking for someone who can embed these principles into every layer of our platform from day one. The Role We are looking for a DevSecOps Engineer - AI who brings a rare combination of cyber security expertise, quality engineering rigor, and modern DevOps practices to our founding team. You will be responsible for building and maintaining the secure, reliable infrastructure that powers our AI platform while ensuring that every release meets the highest standards of quality and security. This role sits at the intersection of security, quality, and operations. You will design our CI/CD pipelines, implement security controls, build automated testing frameworks for AI systems, and ensure our platform meets the compliance requirements of the financial services industry. You will work closely with the CTO and engineering team to make security and quality a competitive advantage, not a bottleneck. What You Will Do Security & Cyber Engineering • Design and implement a comprehensive security architecture for AI-powered applications, covering data encryption, authentication, authorization, and secrets management., • Conduct threat modeling, vulnerability assessments, and penetration testing across the platform, with special attention to AI-specific attack vectors (prompt injection, data poisoning, model exfiltration)., • Implement security scanning and monitoring throughout the SDLC: SAST, DAST, SCA, container scanning, and runtime threat detection., • Build and maintain SOC 2 compliance controls, audit trails, and security documentation required for enterprise financial services clients., • Establish incident response procedures, security runbooks, and a security-first culture across the engineering team., • Monitor and protect AI model endpoints against adversarial attacks, unauthorized access, and data leakage. Quality Engineering • Design and build automated testing frameworks covering unit, integration, end-to-end, and performance testing for both traditional services and AI/ML components., • Develop AI-specific quality assurance practices: LLM output evaluation pipelines, regression testing for model behavior, hallucination detection, and response quality benchmarking., • Implement contract testing for APIs and integration points between microservices, LLM providers, and third-party financial data sources., • Establish quality gates in CI/CD pipelines that enforce code coverage thresholds, security scan pass rates, and AI model performance baselines before deployment., • Build observability and monitoring dashboards to track system reliability, AI model drift, latency SLAs, and error rates in production., • Champion a quality-first engineering culture: define testing standards, conduct test architecture reviews, and mentor engineers on best practices. DevOps & Infrastructure • Design, build, and maintain CI/CD pipelines (GitHub Actions, GitLab CI, or similar) with integrated security scanning and automated quality checks., • Manage cloud infrastructure (AWS or GCP) using Infrastructure as Code (Terraform, Pulumi, or CloudFormation), ensuring reproducibility and auditability., • Implement containerized deployment strategies (Docker, Kubernetes) with secure configurations, network policies, and resource isolation for AI workloads., • Set up environment management (dev, staging, production) with proper access controls, data segregation, and configuration management., • Ensure high availability, disaster recovery, and backup strategies for production systems and AI model artifacts. What We Are Looking For • 5+ years of experience in DevOps, DevSecOps, or infrastructure engineering, with at least 2 years focused on security engineering or cyber security., • Strong background in quality engineering: hands-on experience designing test strategies, building automated test frameworks, and implementing quality gates in CI/CD., • Deep knowledge of application security: OWASP Top 10, secure coding practices, encryption standards, identity and access management (IAM), and network security., • Proficiency with cloud platforms (AWS or GCP), Infrastructure as Code (Terraform preferred), and container orchestration (Docker, Kubernetes)., • Experience with security tooling: Snyk, Trivy, SonarQube, Burp Suite, OWASP ZAP, AWS Security Hub, or equivalent., • Familiarity with AI/ML systems and the unique security and quality challenges they present: prompt injection, model versioning, output validation, and data pipeline integrity., • Strong scripting and automation skills in Python, Bash, or Go., • Excellent communication skills: you can translate security and quality requirements into clear, actionable guidance for engineering teams. Nice to Have • Industry certifications such as CISSP, CEH, AWS Security Specialty, OSCP, or ISTQB., • Experience with SOC 2 Type II audits, FedRAMP, or financial services compliance frameworks (PCI-DSS, GLBA, SEC/FINRA regulations)., • Background in securing AI/ML pipelines, including model supply chain security and adversarial robustness testing., • Experience building chaos engineering practices or site reliability engineering (SRE) programs., • Familiarity with financial data systems, custodial feeds, or wealth management platforms., • Prior experience at an early-stage startup where you built security and quality infrastructure from scratch. Tools & Technologies Security Snyk, Trivy, SonarQube, OWASP ZAP, HashiCorp Vault, AWS Security Hub CI/CD GitHub Actions, ArgoCD, Docker, Kubernetes, Helm Infrastructure Terraform, AWS / GCP, CloudFormation, Pulumi Testing Pytest, Playwright, k6, custom LLM evaluation harnesses Monitoring Datadog, Grafana, PagerDuty, CloudWatch, LangSmith Languages Python, Bash, Go, TypeScript What We Offer Early-Stage Equity Meaningful equity as a founding team member, so you share directly in the company's success. Competitive Salary Competitive base salary reflecting Bay Area market rates and your specialized skill set. Benefits & Wellness Health, dental, and vision insurance. Flexible PTO and a team that respects work-life balance. Certification & Growth Budget for security certifications, conferences, and continuous learning. Build security and quality practices from the ground up. How to Apply If you are passionate about building secure, high-quality AI systems for the financial services industry and want to own security and quality engineering at a founding-stage company, we would love to hear from you. Send your resume, a brief note on your approach to DevSecOps, and any relevant links (GitHub, certifications, publications) to: Email: • WealthyMinds AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Intelligence Architect Conquer AI is hiring an Intelligence Architect to help us design and deliver real-world AI systems for enterprise clients. This is not a research-only role, and it is not a strategy-only role. We are looking for a strong software engineer who can work directly with clients, run technical discovery, shape use cases, and then build the solution from POC through MVP and Phase 1 delivery. Think forward deployed engineer. A hands-on builder who can sit with business stakeholders, understand how work actually happens, and turn that into practical AI systems. What we’re looking for • Strong software engineering background, • Experience with RAG, LLMs, machine learning, and AI application development, • Strong hands-on skills in Python and Node.js, • Ability to design, build, and deploy production-ready systems, • Confident working directly with clients and cross-functional stakeholders, • Able to move from problem definition to technical architecture to delivery, • Strong communication, ownership, and execution skills What you’ll do • Work closely with clients to uncover high-value AI opportunities, • Lead discovery sessions and translate business problems into technical solutions, • Build POCs, MVPs, and early production systems, • Design workflows that combine retrieval, reasoning, automation, and human-in-the-loop review, • Operate as a trusted technical lead across both client-facing and delivery work, • Help ensure what gets built is usable, scalable, and grounded in real workflows This role is a fit for you if • You are a builder first, • You can speak to executives, operators, and engineers without losing the thread, • You enjoy solving messy workflow problems with elegant technical systems, • You want to work on high-impact AI delivery, not internal experiments, • We’d love to hear from engineers who want to build serious AI systems in the real world.

Our Mission SPAN develops products that accelerate the rapid adoption of renewable energy in the home. The flagship SPAN Smart Panel is the first true evolution for the traditional home electric panel, harnessing enhanced technology for metering, monitoring, and control. An expanded product suite of intelligent, integrated solutions radically lowers the cost and complexity of energy upgrades–including solar, batteries and EVs–empowering homeowners to be active, resilient and informed players in the energy market. The Team and Role SPAN’s Strategic Firmware team is responsible for the full lifecycle of new strategic products, features, and integrations. We are focused on quickly building minimum viable solutions that will help unlock market segments and increase sales. We look for friendly, motivated engineers who enjoy working with their peers to drive impact and move the business forward. Engineers on this team work directly with the broader cross-functional strategic team including product, mobile software, cloud software, and hardware. As a Senior Staff Firmware Engineer you will have the opportunity to be the engineering owner for new strategic initiatives that impact any of our hardware components from microcontrollers up through application stack in embedded Linux. This can include everything from bootloaders on systems without an OS up through applications in C and C++ inside an RTOS, to system services and applications written in Rust and Python in embedded Linux. Hardware products are central to SPAN’s business and writing firmware for even our smallest microcontrollers means working on something that directly impacts the user experience. Representative Projects • Integrations with smart networked third party home energy devices: work across teams to define MVP, manage external partners, define architecture, and lead the implementation, • The regulatory frameworks that govern our electrical systems and devices are updated from time to time. In some cases, changes here may create market demand for electrical products. To unlock new markets, we may work with our product and certification teams to design new features or capabilities and lead the implementation. Required Qualifications We are seeking a Firmware/Embedded Linux engineer with: • 8 or more years of experience writing software for a hardware device (on a microcontroller, and/or in Linux, etc) in C/C++, Rust, and/or Python, • Strong fundamentals in modern software design coupled with awareness of concerns like manual memory management, • Experience working with standard electrical communication interfaces like UART, I2C, USB, etc., • Exceptional interpersonal communication and collaboration skills. Great at building trust and driving decisions to a resolution, • Track record of taking ownership of projects and willingness to help others with theirs, from design and code review through to mentorship of new employees

Overview: Join a pioneering team focused on advancing the frontiers of photonics and optical system integration. Our client is an innovative, growth-stage company developing next-generation optical platforms for high-impact applications. Responsibilities • Lead the end-to-end design, simulation, and layout of active and passive photonic integrated circuits., • Perform rigorous electromagnetic and optical simulations using industry-standard tools (FDTD, EME, Mode solvers)., • Create, optimize, and verify complex GDSII layouts for tape-out, ensuring strict adherence to foundry Design Rule Checks (DRC)., • Collaborate directly with external semiconductor foundries to manage multi-project wafer (MPW) runs and integrate process design kits (PDKs)., • Partner with test and packaging engineering teams to define testing protocols, analyze wafer- and die-level data, and correlate empirical measurements with simulation models., • Develop custom automation scripts for layout generation, simulation sweeps, and high-volume data analysis to streamline the design cycle. Requirements • Master’s degree or Ph.D. in Electrical Engineering, Photonics, Physics, Optical Engineering, or a closely related discipline., • Proven industry experience in the design, tape-out, and testing of Photonic Integrated Circuits (e.g., Silicon Photonics, InP, or Silicon Nitride)., • Proficiency with commercial optical and multiphysics simulation software (such as Lumerical, Photon Design, RSoft, or COMSOL)., • Strong hands-on experience with layout and DRC verification tools (such as KLayout, Luceda IPKISS, Synopsys OptoDesigner, or Cadence)., • Fluency in programming languages like Python, MATLAB, or C++ for lab automation, data analysis, and layout scripting., • Deep understanding of waveguide theory, semiconductor physics, and high-speed optical communication principles., • Excellent problem-solving skills with the ability to thrive in a fast-paced, cross-functional startup environment.

Partner Account Executive / Channel Account Executive - North America Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct company partnership recruitment for the Odoo ERP (enterprise resource planning) Software. Using the following methods:, • Research-based on data analytics, score tracking using CRM (customer relationship management), and evaluating candidates using the BANT strategy (budget authority needs timeline)., • Develop strategies to increase revenue using the Odoo scoring lead system to project the increase in business revenue, identify potential up-sells and cross-selling, and help adapt Odoo ERP software for future clients using Python and SQL (programming languages)., • Analyze strategic changes and report key metrics by extracting data from Odoo software, analyzing trends, and creating dashboards using Odoo software to report to the manager., • Meet or exceed monthly assigned Account Executive sales quotas by accurately forecasting, effectively managing a pipeline of opportunities, and advancing deals to closure per projected timelines, • Work in a consultative fashion to design tailored implementation packages and negotiate its content with future partners Requirements: • Bachelor's degree (business-oriented major preferred) or an equivalent combination of education and experience, • Strong software and new technologies awareness, • 1+ years experience in B2B sales, • Excellent communication skills, • Curiosity to learn how businesses operate Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated salary range for this role is $70,000-$90,000 OTE (on-target earnings), which includes a base salary range of $50,000-$70,000. Actual salaries may vary based on factors such as education, training, experience, professional achievements, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Channel Account Executive - North America Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct company partnership recruitment for the Odoo ERP (enterprise resource planning) Software. Using the following methods:, • Research-based on data analytics, score tracking using CRM (customer relationship management), and evaluating candidates using the BANT strategy (budget authority needs timeline)., • Develop strategies to increase revenue using the Odoo scoring lead system to project the increase in business revenue, identify potential up-sells and cross-selling, and help adapt Odoo ERP software for future clients using Python and SQL (programming languages)., • Analyze strategic changes and report key metrics by extracting data from Odoo software, analyzing trends, and creating dashboards using Odoo software to report to the manager., • Meet or exceed monthly assigned Account Executive sales quotas by accurately forecasting, effectively managing a pipeline of opportunities, and advancing deals to closure per projected timelines, • Work in a consultative fashion to design tailored implementation packages and negotiate its content with future partners Requirements: • Bachelor's degree (business-oriented major preferred) or an equivalent combination of education and experience, • Strong software and new technologies awareness, • 1+ years experience in B2B sales, • Excellent communication skills, • Curiosity to learn how businesses operate Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated salary range for this role is $70,000-$90,000 OTE (on-target earnings), which includes a base salary range of $50,000-$70,000. Actual salaries may vary based on factors such as education, training, experience, professional achievements, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Engagement Manager (Technology, Media, Telecom) Fractal Analytics is a global, AI‑first company and strategic partner to Fortune 500 organizations. Unlike traditional consulting or services firms, AI is Fractal’s core business—not an add‑on. For over 25 years, Fractal has helped enterprises apply advanced analytics and AI to improve decision‑making at scale. Fractal’s Tech, Media and Telecom practice is purpose‑built to support global TMT organizations across sales, marketing, product development & engineering, supply chain, and enterprise functions. We work with many of the world’s largest Tech companies to design, build, and scale production‑grade AI and GenAI solutions that deliver measurable business and patient impact. Join our team and shape the future of Tech, Media and Telecom through groundbreaking technology solutions! Please visit Fractal | Intelligence for Imagination for more information about Fractal. Location: San Francisco Bay Area. This role requires onsite presence 3 days/week. Note: This position is not eligible for Immigration Sponsorship at this time. Overview: Fractal is looking for a proactive and driven Engagement Manager – Decision Science to join our Decision Science Consulting team in the Bay Area, CA. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting-edge GenAI, Data Science, Engineering, and Behavioral Science capabilities. This is a perfect opportunity for someone who combines consulting-grade systems thinking, strong problem-solving, effective communication, and thought leadership to help our clients solve their most strategic business problems. The ideal candidate will fit well with our key values, i.e. someone who is humble, hungry and smart Responsibilities: • Serve as the primary point of contact for senior client stakeholders as strategic partner., • Lead delivery of complex analytics and AI-driven programs, ensuring quality and timely outcomes., • Proactively innovate solutions leveraging decision science, behavioral insights, and emerging AI capabilities., • Foster collaboration across multi-disciplinary teams and drive delivery excellence., • Identify opportunities to deepen client relationships and expand engagement scope., • Contribute to thought leadership and practice growth initiatives. Qualifications: (Must Have) • 10-14 years of experience in analytics consulting or decision science leadership roles., • Proven ability to manage senior client relationships and deliver complex programs., • Strong problem-solving mindset with first principles thinking., • Established subject matter expert in 1 or more of the following – data science, digital marketing, behavior science, GenAI, product management, software development with strong familiarity or interest in remaining fields, • Excellent communication and team leadership skills; ability to mentor and build high-performing teams., • Culture fit: Humble, Hungry, Smart (HHS) with a collaborative approach. (Preferred Skills) • Familiarity with SQL and Python for problem-solving (hands-on)., • Exposure to consulting frameworks e.g. 5-whys, issue tree, prioritization matrix, • Exposure to project management frameworks e.g. agile, waterfall, scrum, • Exposure to product management concepts e.g. PRD, backlog grooming, user stories, • Experience in digital analytics, experimentation, and data-driven decision-making., • Understanding of Adobe Analytics concepts and digital data structures., • Exposure to standard ML techniques (e.g. regression, clustering, experimentation, forecasting)., • Interest in emerging GenAI applications and trends. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Up to $220,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Do you thrive in a high-pressure environment - cutover weekends, 2 AM crisis calls, vendor conflicts? If yes, then BCI has the job for you!! We are seeking a hands-on Integration & Cutover Manager to lead the technical execution of a complex SAP S/4HANA implementation involving 15-20 system integrations (Workday, ADP, Concur, MuleSoft, IFS, Oanda, Dassian, SAC). This role is accountable for end-to-end integration testing, cutover simulation/dry runs, and flawless go-live execution. You will be the "single throat to choke" for integration coordination across 5+ vendor teams and internal IT/business stakeholders. Key Responsibilities Integration Testing & Coordination (40%) • Design and document 25+ end-to-end integration test scenarios across Workday → Entra ID → SAP → ADP → IFS → Concur ecosystem, • Build and maintain integration test execution dashboard (track pass/fail rates, defect aging, vendor accountability), • Coordinate daily integration testing sessions with vendor teams (Vantor SAP, Workday consultants, ADP, MuleSoft, Dassian), • Facilitate root cause analysis for integration failures, drive resolution with technical deep-dives (read logs, debug APIs, trace data flows), • Validate integration performance (latency, throughput, error rates) meets SLAs before cutover freeze, • Build comprehensive 120+ page hour-by-hour cutover playbook (Friday 6 PM → Monday 6 AM) with task owners, dependencies, rollback triggers, • Facilitate 2+ full cutover dry runs (simulate entire go-live weekend in test environment, capture timing/issues, refine runbook), • Define objective Go/No-Go criteria (50 measurable gates: data migration accuracy, integration success rates, smoke test results), • Document rollback procedures with step-by-step instructions to revert to legacy systems within 4 hours if cutover fails, • Lead 48-hour cutover war room (24/7 during go-live weekend), facilitating real-time triage and decision-making, • Track runbook adherence in real-time (digital checklist updated hourly, flag schedule slips immediately), • Coordinate vendor resources (ensure Vantor, MuleSoft, Workday, ADP on-call, escalate to vendor leadership if response slow), • Provide executive status updates every 2 hours (Green/Yellow/Red, issues encountered, mitigation actions), • Facilitate Sunday 4 PM Go/No-Go decision with steering committee (present objective data, risk assessment, recommendation), • Lead Week 1-2 post-go-live hypercare war room (daily 8 AM and 4 PM triage calls), • Monitor integration health dashboards (99.5%+ uptime target), escalate vendor support for P1/P2 incidents within SLA, • Track and resolve post-cutover defects (prioritize P1 payroll-blocking issues, coordinate vendor fixes), • Facilitate first full payroll cycle validation (SAP → ADP → bank deposits, ensure zero missed paychecks), • Mediate vendor conflicts when integration failures occur (prevent finger-pointing, drive collaborative problem-solving), • Facilitate weekly integration sync meetings (Vantor, MuleSoft, Workday, ADP, Dassian vendors + IT/business), • Escalate to vendor account executives if delivery quality poor or resources under-staffed, • Communicate integration status to business stakeholders (HR, Finance, Procurement) in non-technical terms Required Qualifications Must-Have Experience: • 7+ years managing complex system integrations (5+ systems) in ERP implementations (SAP, Oracle, Workday, or similar), • 3+ hands-on cutover executions as cutover manager/lead (not just participant—you owned the runbook and war room), • Deep technical fluency: Read API logs, debug integration errors, understand middleware (MuleSoft, Dell Boomi, Workato), speak fluent REST/SOAP/RFC, • Experience with HCM/Payroll integrations (Workday ↔ ADP or similar), understand criticality of payroll accuracy, • Proven ability to lead under pressure (48-hour cutover war room, make real-time decisions, stay calm when things break), • Integration platforms: MuleSoft (preferred), Dell Boomi, Informatica, or Workato, • Identity systems: Entra ID (Azure AD), Okta, Active Directory, SAML/OAuth 2.0, • SAP: Understand RFC, iDoc, OData, BAPI (don't need to code ABAP, but must read technical specs), • APIs: REST, SOAP, JSON, XML—can test APIs using Postman, read Swagger docs, • Databases: Write SQL queries for data validation/reconciliation, • Command presence: Can run a war room with 20 people, make decisions quickly, keep team focused, • Vendor management: Hold vendors accountable without damaging relationships, escalate appropriately, • Communication: Translate technical issues to executives ("integration latency" → "payroll at risk"), write clear status updates, • Bias for action: Don't wait for perfect information—make pragmatic decisions with 80% data, • Stress tolerance: Thrive in high-pressure environments (cutover weekends, 2 AM crisis calls, vendor conflicts) Preferred Qualifications • SAP S/4HANA implementation experience (understand FI, CO, MM, HR modules, know how data flows), • Workday HCM implementation experience (understand Workday data model, EIB, Studio, API frameworks), • PMP or similar project management certification, • Experience with SAP Analytics Cloud (SAC) or similar BI/analytics platforms, • Federal contractor experience (understand DCAA labor charging, ITAR data controls, SOX compliance), • Scripting/automation skills (Python, PowerShell for data validation, API testing automation)

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Job Title: MLOps Engineer Location: Bay Area (Hybrid) Job Type: Contract Overview Tachyon Predictive AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI., • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)., • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining., • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability), • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs, • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment Qualifications • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations., • Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)., • Experience with cloud platforms and containerization (Docker, Kubernetes)., • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks., • Solid understanding of software engineering principles and DevOps practices., • Ability to communicate complex technical concepts to non-technical stakeholders.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Senior Software Engineer (Full-Stack / Backend-Leaning) 📍 San Francisco Bay Area (Hybrid – 3+ days onsite) This is a hybrid role based in the San Francisco Bay Area (minimum 3 days per week onsite). We are building a next-generation, AI-native platform transforming a trillion-dollar industry. Our product combines advanced AI workflows with real-world operations to power a full-stack commerce and logistics platform serving customers nationwide. We are looking for a high-caliber Generalist Software Engineer who thrives in fast-moving environments and enjoys owning systems end-to-end. What You’ll Do • Design and build production-grade backend and full-stack systems, • Own features end-to-end from concept through deployment and iteration, • Architect scalable services and APIs powering core product workflows, • Collaborate closely with product and design to deliver user-facing impact, • Contribute to technical architecture and long-term engineering strategy, • Help embed AI-driven workflows directly into product and operational systems What We’re Looking For Experience • 4–8+ years of professional software engineering experience, • Proven track record of shipping and maintaining production systems, • Experience working in startup or high-velocity environments preferred, • Experience at top-tier technology companies is a strong plus Technical Skills Strong backend or full-stack orientation with experience in: • Go and/or TypeScript, • Python, • Node.js, • React, Next.js, or similar modern frontend frameworks, • Distributed systems and API design, • Databases such as MySQL, • Caching and messaging systems (Redis, Pub/Sub, etc.) Strongly Preferred • Experience embedding LLM or AI workflows into production products, • Familiarity with agentic systems, state machines, or workflow orchestration, • Experience building marketplace, commerce, or operational platforms, • A true builder who enjoys solving real-world problems, • Comfortable operating in ambiguity and moving quickly, • Product-minded — you think about user and business impact, • High ownership mindset; you drive projects forward independently, • Strong communicator who collaborates well across functions, • Interested in building long-term value, not just optimizing for brand names Compensation • Competitive base salary ($200K+; higher for senior candidates), • Meaningful equity participation, • Additional performance incentives may be discussed Requirements • Based in or willing to relocate to the San Francisco Bay Area, • Willing to work onsite at least 3 days per week, • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience If you are excited about building AI-native systems that power real-world businesses at scale, we’d love to connect.

About Alterion Alterion is building the control plane for the agentic enterprise - enabling organizations to safely deploy, monitor, and scale autonomous AI agents with full visibility and governance. Our platform unifies semantic observability, dynamic policy enforcement, and distributed monitoring to ensure agent ecosystems remain trustworthy, compliant, and efficient at scale. As part of this mission, the Intelligence Platform is responsible for understanding, scoring, and optimizing agent behavior across the enterprise, including accuracy, security, cost, drift, anomalous behavior, and runtime dynamics. Role Overview We are looking for a Senior AI/ML Engineer (Applied) to join our on-site Research & Intelligence team in San Francisco. This role is for an experienced engineer who enjoys working close to research problems but is primarily motivated by building, shipping, and improving production systems. You will work on applied GenAI problems including agent evaluation, observability and safety; translating proven techniques into scalable, reliable components within Alterion’s platform. This is not a pure research role. Success is measured by what ships and what improves in production, not by publications. What You’ll Work On • Build and maintain pipelines for model evaluation, scoring, and monitoring in production environments., • Apply fine-tuning, optimization, and lightweight model adaptation techniques where appropriate., • Develop embeddings, classifiers, and scoring services that support natural language analysis., • Run structured experiments to evaluate model performance, tradeoffs, and regressions., • Partner with engineering and product teammates to translate ideas into working systems., • Contribute to internal tooling, dashboards, and prototypes that improve agent visibility and control. Minimum Qualifications • 5+ years of experience in software engineering, ML engineering, or applied AI roles., • Strong Python skills and experience building production services or data pipelines., • Hands-on experience working with LLMs (APIs or open-source models) in real systems., • Familiarity with model evaluation, monitoring, and performance tradeoffs., • Experience using ML frameworks such as PyTorch or similar. Preferred Qualifications • Experience with GenAI evaluation, observability, or safety tooling., • Familiarity with embeddings, vector search, or semantic similarity systems., • Exposure to fine-tuning, PEFT, or cost-aware inference strategies., • Experience working in early-stage or fast-moving product teams. Who Thrives Here • Researchers who like to build, iterate, and see real impact quickly., • People who enjoy working in-person with a small team on hard, novel problems., • Builders who combine scientific depth with strong engineering instincts., • Individuals passionate about defining how autonomous AI agents are evaluated, governed, and optimized.

Most public safety benchmarks for frontier models test single-turn refusals. We focus on pushing frontier models in multi-turn, high-pressure conversations. A model that cleanly refuses to write an insecure script on Turn 1 will often fail by Turn 8 under sustained pressure from a "frustrated senior developer" persona. We call this alignment drift, and as the industry shifts from stateless chatbots to long-horizon autonomous agents, it's one of the most consequential open problems in the field. What we're building Atella builds the empirical infrastructure to test AI character and stability under pressure. The company was co-founded by Dr. Roy Perlis (Chair of Psychiatry at Harvard/MGH, Editor of JAMA AI) alongside a team of ML researchers. We build multi-turn, persona-driven adversarial simulation harnesses. Rather than just prompting models for bad output, we use clinical behavioral science to construct adversarial agents that apply specific psychological pressure over 20+ turns. We then mathematically map the point where a model's safety guardrails collapse, tracking signals like response-length decay, persona sensitivity, and failure-cascade rates. We run the industry's leading dynamic leaderboards for AI Safety and Code Security, and our data is actively used by safety teams at the frontier labs. The role We're hiring a Technical Research Engineer to help scale STELLA, our multi-turn evaluation engine. The work sits at the intersection of ML research, automated red teaming, and serious software engineering. What you'll do: • Scale the harness. Build and optimize the infrastructure that runs LLM-driven adversarial personas against frontier models for thousands of turns concurrently., • Design adaptive attacks. Implement novel automated red-teaming strategies from recent literature — tree-based search, multi-agent debate, dynamic prompt generation — to surface failure modes more efficiently., • Extract signal from noise. Build analysis pipelines over thousands of raw transcripts: failure-cascade probabilities, behavioral-drift metrics, persona sensitivity scores., • A strong software engineer. You write clean, scalable Python and are fluent with LLM APIs, async programming, and data pipelines., • You can read a paper on Constitutional AI or persona modeling, extract the core math or architecture, and have a working implementation shortly after., • You're intellectually aggressive about breaking things. You care deeply about AI safety but prefer empirical, transcript-level evidence over abstract alignment debates., • You get an unusually direct look at the failure modes of the world's most advanced AI systems., • You'll work alongside top clinical scientists from Harvard/MGH and collaborate closely with the safety and red teams at the frontier labs. Compensation: $250,000–$300,000 base + 0.5%–1% equity

Manufacturing Test Software Engineer Salary: $125,000 – $150,000 + equity & benefits Location: Mission District, San Francisco, CA We’re looking for a self-motivated Manufacturing Test Software Engineer to join our R&D/Pilot test team in San Francisco. You’ll work closely with R&D and Operations to improve test systems, processes, and production readiness for LiDAR products. Key Responsibilities • Maintain, enhance, and deploy test systems and automation platforms, • Drive improvements in test efficiency, yield, and product quality, • Analyze root causes of failures and implement corrective actions using tools such as 8D, 5 Whys, and Fishbone analysis, • Support scalability and manufacturability projects, • Strong Python programming and debugging skills, • Experience with test automation in manufacturing environments, • Familiarity with source control tools (Git, Jira, etc.) and quality standards (SPC, GR&R, control charts), • Experience with LiDAR, robotics, vision systems (Cognex/OpenCV), or test measurement equipment is a plus, • Bachelor’s degree in Computer Science, Engineering, or equivalent experience, • 10+ years supporting product tests in manufacturing

Backend Engineer – Build the Core System (Early Stage) I’m working with a fast-growing, venture-backed startup that is rebuilding a complex, real-world industry from the ground up using AI and modern backend systems. They’ve already hit strong early traction and are now hiring an engineer to help define and build the platform at the center of the business. What you’ll be doing This role sits right at the core of the company. You’ll be: • Building backend systems that power real-world operations, • Designing APIs, services, and data models from scratch, • Owning database design and performance (PostgreSQL), • Working with AWS or GCP in a production environment, • Shipping quickly and iterating on live systems, • Integrating AI-driven workflows into core product logic You won’t be handed tickets. You’ll be expected to figure things out and build. What they’re looking for • Strong backend engineering experience (Python preferred), • Experience shipping production systems end-to-end, • Solid understanding of system design and data modeling, • Comfortable working across APIs, infrastructure, and data layers, • Experience with PostgreSQL and cloud platforms (AWS or GCP), • Someone who takes ownership and moves without waiting Nice to have: • Exposure to LLMs, RAG pipelines, or AI-driven products, • Experience in early-stage or high-growth environments Why this role stands out • You’ll build systems that directly impact the business from day one, • Real ownership of architecture and technical decisions, • Fast-moving environment with minimal bureaucracy, • Strong early traction and backing, • Competitive compensation and equity Location San Francisco (in-person) Relocation support available

Hi Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting Agentic AI Python Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment. BeaconFire is based in Central NJ, specializing in Software Development, Web Development and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment. Job Responsibilities: • Collaborate with the team to design and develop high quality Web applications using, • Python, Flask, Django, and related technologies., • Write clean and efficient code, and ensure code maintainability and reusability., • Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking,, • embeddings, indexing, retrieval, reranking, grounding)., • Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs), • using Python-first frameworks., • Perform code reviews to ensure code quality and consistency., • Conduct testing to ensure application quality and reliability., • Create and maintain technical documentation for web applications., • Participate in project planning, estimation, and prioritization., • Stay up to date with the latest technologies for Python development., • Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding, • checks), and improve system quality iteratively., • Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD,, • and security best practices. Requirement: • Experience in software development in Python3., • Decent understanding of the software development/testing life cycle., • Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills, • Experience with version control tools, such as Git., • Experience building RAG solutions (hybrid search, reranking, chunking strategies,, • embeddings, prompt + schema design)., • Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex,, • Semantic Kernel, AutoGen) and tool/function calling patterns., • Solid knowledge of vector search concepts and at least one vector DB in production., • Strong engineering practices: code reviews, testing, telemetry, secure-by-design,, • reliability mindset. Preferred Qualifications: • Master’s Degree in Computer Science, Software Engineering, or related field., • 1+ year professional experience in Python web application development with either, • Flask or Django., • Experience in RESTful API development in Python., • Understanding of Python web application frameworks such as Flask or Django., • Experience with Cloud services, such as AWS., • Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud, • Run/GKE, storage)., • Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)., • Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and, • multilingual retrieval., • Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),, • prompt/version management., • Frontend integration (basic React/Next.js) or platform enablement (internal developer, • tooling). Rameez Khan Technical Recruiter Beaconfire

Senior Software Engineer Build foundational systems behind real‑world decisions Full‑time · Hybrid- (San Francisco) $225K–$300K + meaningful equity The Opportunity An extremely well‑funded, YC‑backed Series A start-up is building a next‑generation platform that sits at the intersection of data, automation, and high‑stakes decision‑making. The product is already live, widely used, and growing quickly. The next chapter is about deepening the platform, scaling carefully, and raising the technical bar across systems that must be reliable, explainable, and correct. This is a role for Senior / Staff engineers who want to work close to the core. Why This Role Is Different • Substantial ownership: You’ll take responsibility for meaningful parts of the platform, from design through execution., • High trust environment: Small, senior team. Few layers. Real autonomy., • Clear impact: Your work directly influences outcomes that matter to end users and customers., • Strong compensation: Competitive cash at Series A plus meaningful equity., • Practical interviews: Real‑world system design and problem‑solving, no algorithm games. What You’ll Work On • Core application and platform systems, • Complex backend and data heavy workflows, • Scalable services operating in a regulated or sensitive context, • Accuracy critical logic where edge cases matter, • Cross‑stack problem solving, with a backend leaning focus The problems are nuanced, the constraints are real, and the solutions need to hold up over time. Requirements: You’re likely a strong fit if you: • Have 8+ years of professional Full Stack software engineering experience – with a Backend Lean, • Have TypeScript, React.js, Node.js, Python - Experience with data driven or intelligent systems is helpful but not required, • Have owned or significantly shaped production systems, • Have experience working on Complex Backend systems at Infrastructure level, • Are comfortable making architectural trade-offs with incomplete information, • Have experience in early‑stage or fast‑moving environments, • Are self‑directed, communicative, and pragmatic, • Prefer building durable systems over shipping throwaway code, • Ideally have some experience with AI/ML – Chatbots/ fine-tuning models etc, • Computer Science Degree is a bonus. The Environment • ~30 people total, lean senior engineering team, • Revenue‑generating, well‑capitalized, and growing, • Multiple senior hires planned, • On‑site collaboration in San Francisco The Bottom Line This is a role for engineers who want to: • Own meaningful technical decisions, • Work on systems that actually get used, • Be paid competitively for senior‑level impact, • Build something substantive alongside other strong engineers A high‑quality opportunity for the right person. Apply now – Candidates must be US Citizens. No Sponsorship available.

Staff Analog IC Design Engineer – Mixed Signal / Photonics (Hybrid) | Permanent | Deep Tech Client We're partnering with a pioneering deep tech company building photonics-enabled computing systems. They sit at the intersection of analog IC design and silicon photonics, a space that's attracting serious investment and some of the most interesting design challenges in the industry right now. They need a Staff mixed signal engineer to own the design of precision data converters, biasing circuits and photonic control drivers. This is a system-level and transistor-level role where your work directly enables the control and tuning of integrated photonic components. What you'll be doing: Designing ADC and DAC architectures including SAR, pipeline, current-steering and resistor-string topologies. Building precision references, bandgap circuits, LDO regulators and bias networks. Designing heater drivers and current sources for thermal tuning of photonic devices. Integrating third-party IP including ADC/DAC blocks, SerDes and PHY interfaces. Developing AMS verification environments using Spectre/AMS Designer and behavioral models in Verilog-A or wreal. Supporting silicon characterization and test correlation. What you need: 8 to 10 years in mixed-signal IC design. Proven ADC or DAC tape-out experience. Cadence Virtuoso, Spectre/AMS. Scripting in Python or MATLAB. MEng, MSc or PhD in Electronic or Electrical Engineering. Familiarity with silicon photonics components is a strong advantage but not a hard requirement. The photonics angle makes this a genuinely rare brief. If you want to be close to the hardware that's shaping the next generation of computing, this is worth a conversation.

Head of Engineering position with a Series A scale up who care about building 3D AI tools for the physical world. You'll be working alongside a deeply technical, mission driven teaming building the AI layer that future hard tech innovation will run on. They received $30m of Series A funding from the likes of A16z and are founded by second time CEO in this space. This is a high impact, hands on lead position shaping the core product and architecture of their intelligent design environment. You will design & build scalable full stack systems (python & react ideally) and architect the backend on AWS and modern data infrastructure. A key element of this role will be ownership and scale. This role blends product thinking, infrastructure depth, and applied AI integration, ideal for someone who has shipped complex production systems and enjoys turning technical capability into elegant user experiences. Comp 400k plus extra benefits Location: Hybrid - SF

Job Description: Seeking a passionate Backend Developer with 0-2 years of experience to develop and maintain server-side applications and infrastructure that power web and mobile platforms. The role includes designing robust APIs, working with databases, and collaborating with front-end developers to integrate user-facing elements. Responsibilities: • Develop and maintain server-side application logic and databases., • Design and implement RESTful APIs for seamless integration., • Optimize backend systems for performance, scalability, and security., • Write reusable, testable, and efficient code., • Collaborate with front-end developers and team members to meet project goals., • Participate in code reviews, testing, and agile development processes. Required Skills: • Proficiency with server-side programming languages (e.g., Node.js, Python, Java)., • Knowledge of database management (SQL, NoSQL)., • Familiarity with version control tools like Git., • Understanding of security and data protection measures., • Strong problem-solving skills and attention to detail., • Bachelor's degree in Computer Science or related field preferred but not mandatory.

Account Executive, Partnerships / Channel Account Executive - North America (French Required) Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct partnership recruitment for Odoo ERP software, employing data analytics, CRM score tracking, and BANT strategy evaluation, • Develop revenue-increasing strategies using the Odoo scoring lead system, projecting business revenue, identifying up-sell and cross-sell opportunities, and adapting Odoo ERP software for clients with Python and SQL, • Analyze strategic changes and report key metrics by extracting data, analyzing trends, and creating dashboards in Odoo software for managerial reporting, • Meet or exceed monthly Account Executive sales quotas through accurate forecasting, effective pipeline management, and advancing deals to closure within projected timelines, • Work in a consultative manner to design and negotiate tailored implementation packages with future partners Requirements: • Bachelor's degree (preferably in a business-related field) or equivalent combination of education and experience, • Fluency in English and French (professional or native/bilingual: reading, writing, and speaking), • Strong awareness of software and new technologies, • 1+ years of B2B sales experience, • Excellent communication skills, • Curiosity about business operations Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $70,000-$90,000 OTE (on-target earnings), with a base salary range of $50,000-$70,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Tech Lead – Backend Data & AI (Digital & Marketing IT) Location: Alameda, CA Onsite / Hybrid Long-Term Rolling Contract Role Summary • We are seeking an experienced Tech Lead – Backend Data & AI with 8+ years of hands-on data engineering experience and a proven ability to lead architecture, execution, and technical direction for enterprise-scale marketing and customer data platforms. This role will act as a technical authority and thought leader, guiding backend data and AI solutions that power customer engagement, marketing activation, analytics, and AI-driven insights., • The ideal candidate combines deep technical expertise in AWS, DBT, Python, and modern data architectures with strong leadership, communication, and decision-making skills. You will partner closely with product owners, marketing stakeholders, architects, and offshore delivery teams to deliver scalable, secure, and business-ready data solutions. Key Responsibilities Technical Leadership & Architecture • Serve as Tech Lead and design authority for backend data and AI solutions supporting Digital and Marketing platforms., • Define and evolve modern data architecture standards, including Data Mesh, Medallion Architecture, Data Lake, and Lakehouse patterns., • Lead architecture and design reviews, ensuring solutions are scalable, secure, cost-effective, and aligned with enterprise standards., • Lead the design, development, and optimization of ETL/ELT pipelines using AWS Glue, S3, Redshift, DynamoDB, external tables, AppFlow, FiveTran, and Airflow., • Architect and implement customer data unification across CRM, marketing automation platforms, and third ‐ party data providers., • Own and optimize analytics-ready data warehouses and semantic layers on Amazon Redshift., • Own DBT standards and best practices, including models, snapshots, tests, macros, and Jinja-based SQL templating., • Provide expert-level SQL guidance, including complex joins, window functions, and performance tuning., • Enable backend data structures and pipelines required for AI/ML and GenAI use cases, including feature-ready datasets and model inputs., • Partner with product analysts and analytics teams to support segmentation, personalization, predictive analytics, and attribution models., • Support data foundations for multi-touch attribution, ROI measurement, and AI-driven marketing insights., • Provide technical leadership and mentorship to onshore and offshore engineers; perform design and code reviews., • Guide teams on CI/CD best practices, version control (Git), and automated testing for data pipelines., • Act as a key escalation point for complex data issues, performance challenges, and production incidents., • Collaborate with product managers, architects, compliance, and business stakeholders to ensure successful delivery. Data Quality, Governance & Compliance • Establish and enforce data quality, validation, and observability standards across data products., • Ensure data solutions meet governance, privacy, and compliance requirements, particularly for marketing and customer data., • Drive consistency in business definitions, metrics, and golden data assets., • Marketing Data Enablement FocusBuild and optimize data flows that support campaign targeting, segmentation, and personalization across email, paid media, and social channels., • Implement marketing-specific data enrichment and validation logic (e.g., opt-in status, best email logic, engagement scoring)., • Enable analytics and dashboards for campaign performance, attribution, and customer journey insights., • Required Qualifications8+ years of experience in data engineering, with at least 2–3 years in a technical leadership or lead engineer role., • Deep expertise in AWS data services (Glue, S3, Redshift, DynamoDB, Airflow)., • Advanced proficiency in SQL, DBT, and Python., • Strong experience designing and operating cloud-native data platforms at scale., • Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders., • Nice to HaveExperience in the Life Sciences or Healthcare domain., • Strong familiarity with marketing data ecosystems (email, media, social, web) and key Marketing KPIs., • Experience with Fivetran or similar managed ingestion tools., • Knowledge of marketing compliance and privacy regulations (GDPR, HIPAA for HCP data, CAN-SPAM)., • Experience with CRM platforms such as Salesforce or Veeva., • Exposure to GenAI, LLMs, and AI-driven personalization frameworks. The salary range provided for this contract role represents our good faith estimate for this position. Within the range, individual offers will vary based on the selected candidate's experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process (W2 or C2C). In addition to compensation, the company provides eligible W2 employees with a comprehensive and highly competitive benefits package. I.T. Solutions, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Forward Deployed Engineer $200-$300k base salary Onsite in SF or NYC About the Role Our client is hiring a Forward Deployed Engineer to join their Agent Deployment team. This is a high-impact, customer-facing engineering role where you will work directly with enterprise users to transform complex operational workflows into production-grade AI systems. You will operate as a true software engineer, contributing to the core product while also owning real-world deployments from end to end. About Our Client Our client is an AI infrastructure company building a platform that automates complex internal workflows across enterprises. By leveraging AI agents, they help organizations eliminate manual processes and improve operational efficiency across functions like IT, security, finance, and operations. They are a well-funded, high-growth startup with a small, talent-dense team and a rapidly expanding customer base, including both high-growth tech companies and large enterprises. The team is based in San Francisco and operates in a highly collaborative, in-person environment. Why Candidates Should Join • Join a fast-growing AI infrastructure company with strong product-market fit and significant enterprise traction, • Work on cutting-edge AI systems that automate critical workflows across organizations, • Be a founding member of a key team, shaping how deployments and customer engineering are done, • Gain direct exposure to customers, business problems, and product strategy, • Operate in a high-ownership, fast-paced environment with significant growth upside What You’ll Do • Architect and build production-grade systems for customer deployments, • Translate complex customer requirements into scalable, reliable solutions, • Design and implement backend services, APIs, and integrations, • Own the full lifecycle of deployments from initial scoping through launch and optimization, • Turn customer pain points into reusable product features, • Collaborate closely with sales, customers, and internal engineering teams, • Move quickly from idea to production through rapid iteration Ideal Candidate Profile Seniority • 1–10+ years of software engineering experience Work Experience • Experience building and shipping production systems, • Strong backend or systems engineering foundation, • Exposure to APIs, integrations, or distributed systems, • Experience in fast-paced or startup environments is a plus, • Customer-facing or cross-functional experience is helpful but not required Education • Degree in Computer Science, Engineering, or a related technical field, • Strong academic background from a top program is a plus Hard Skills • Proficiency in one or more backend programming languages (e.g., Python, C++, or similar), • Experience building scalable systems and services, • Familiarity with cloud infrastructure and system design principles, • Exposure to AI/ML systems, LLMs, or data pipelines is a plus Soft Skills • Strong communication skills and ability to work directly with customers, • High ownership and ability to operate independently, • Structured problem-solving and ability to navigate ambiguity, • Comfort working in a fast-moving, high-intensity environment

Technical Support Engineer (Spanish Required) Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Role As a Technical Support Engineer at Odoo, you will deliver technical solutions and support to help drive success for our SMB customers across North America. You'll collaborate with cross-functional teams to resolve complex challenges while serving as a trusted customer advisor. We're seeking a problem solver who can combine strong programming skills, empathy, and excellent communication to help businesses thrive. The ideal candidate understands business processes and can effectively translate technical solutions for various audiences. Responsibilities: • Own and resolve support tickets (customer-reported problems and bugs) for Odoo tools and services, • Investigate technical issues by identifying root causes, describing symptoms, quantifying scope, and proposing both short-term fixes and long-term solutions, • Collaborate with cross-functional teams to resolve customer and partner technical challenges, • Serve as a technical advisor to customers and partners, effectively communicating product value to both technical and non-technical audiences, • Manage enterprise customer support across SaaS, PaaS, and self-hosted environments while delivering excellent customer experience, • Develop solutions using Bash, Python, JavaScript, and PostgreSQL, • Document resolved issues and implement solutions across customer environments to enhance knowledge sharing and continuous improvement Qualifications and Requirements: • Bachelor's degree in Computer Science, Engineering, or related field, • Fluency in English and Spanish (professional or native/bilingual: reading, writing, and speaking), • Experience with Bash, Python, JavaScript, and database scripting (PostgreSQL preferred), • Knowledge of ERP systems (CRM, Accounting, Inventory, POS), • Strong problem-solving skills with the ability to translate technical concepts for diverse audiences, • Effective communication and collaboration skills with team members, partners, and customers Nice to have: • 1-3 years of professional experience (technical support preferred), • Experience with Odoo or similar ERP systems, • Background in SaaS or startup environments, • Experience working with Unix/Linux platforms, • A proactive learning mindset with a focus on continuous improvement, • Additional language skills (Spanish, French, or Portuguese preferred) Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, FSA, HSA Matching, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $90,000-$105,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Clinical Data Scientist Redwood City, CA (Hybrid potentially remote options) Salary: $140,000-$180,000 No Sponsorship Available About the Role We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives. In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems. You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally. This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development. What You’ll Do • Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models., • Ensure outputs meet quality, compliance, and traceability standards., • Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using R or Python., • Perform robust data cleaning and QC checks., • Investigate anomalies and troubleshoot issues across the data pipeline., • Distinguish between upstream extraction issues and true clinical variations., • Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic., • Serve as an early user and feedback partner for internal data tools., • Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides)., • Support compliance and regulatory submission needs., • Complete internal and external analysis requests to support clinical insights, client value, and platform performance., • Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance. What You Bring • Education:, • BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field., • Experience:, • 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech., • Technical Strengths:, • SAS, R, Python, SQL, • Experience with Git/version control preferred, • Industry Knowledge:, • Familiarity with clinical trial workflows, • Strong understanding of CDISC SDTM/ADaM, • Oncology endpoints (RECIST, survival) and RWD experience is a plus, • Data Wrangling:, • Comfort “stitching together” messy, real‑world clinical datasets, • Experience with unstructured text or NLP outputs is desirable, • Soft Skills:, • Exceptional attention to detail, • Clear, structured communicator, • Proactive, self‑directed, collaborative