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automation engineer

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.
The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. As a Site Reliability Engineer in the Solutions Engineering capability, you will work closely with our engineering colleagues to play a pivotal role in designing, implementing, and maintaining scalable, resilient, and supportable cloud-based platform solutions.
The focus will be on enabling research Application, Machine Learning (ML) workloads and HPC environments through automation, efficient resource management, and Infrastructure as Code (IaC) using tooling. As a member of the DDC team you will help mature the scalable platforms that help unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. 
The Opportunity:
Infrastructure as Code (IaC) Design and Implementation<ul><li>
Architect and implement IaC solutions using tools like Terraform, Spacelift, or CloudFormation to provision and manage cloud infrastructure for ML and HPC workloads. Automate the deployment of scalable ML pipelines, HPC clusters, and supporting services across global regions.</li></ul>
Global Availability and Resiliency<ul><li>
Architect resilient and highly available solutions for ML and HPC workloads using cloud-native practices such as auto-scaling, load balancing, and failover mechanisms. Implement disaster recovery (DR) and business continuity plans for critical systems to ensure global operational integrity. Conduct chaos engineering experiments to validate system reliability and identify potential weaknesses.</li></ul>
Automation and Observability<ul><li>
Develop automation scripts and workflows to streamline infrastructure management, deployment, and scaling for ML and HPC use cases. Implement robust monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, Datadog, or ELK Stack to provide deep insights into system health and performance. Knowledge of AIOps incident management, processes and tooling.</li></ul>
Collaboration and Leadership<ul><li>
Provide technical leadership to a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Partner with cross-functional teams to align infrastructure solutions with business objectives and ML/HPC workload requirements. Mentor and train junior engineers in IaC practices, ML, and HPC infrastructure design.</li></ul>
Cost Optimization and Governance<ul><li>
Monitor and optimize cloud infrastructure usage and costs for ML and HPC workloads. Ensure compliance with organizational security, governance, and regulatory policies in all IaC and cloud implementations.</li></ul>
Who You Are:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or similar technical field, or equivalent experience and 7+ years of experience in software engineering Site Reliability Engineering (SRE).</li><li>
Proven expertise in supporting and deploying IaC solutions in cloud environments (AWS, Azure, or GCP) for ML and HPC workloads.</li><li>
Background in MLOps pipelines, including model versioning, CI/CD for ML, and feature store integration including experience with managed ML services (e.g., AWS SageMaker, Google AI Platform, or Azure ML).</li><li>
Deep understanding of cloud-native architectures, including autoscaling, serverless, and multi-region deployments.</li><li>
Technical Skills:<ul><li>
Advanced proficiency with IaC tools: Terraform, Pulumi, or CloudFormation.</li><li>
Expert in scripting and automation: Python, Bash, or Go.</li><li>
Strong understanding of GPU-accelerated computing (e.g., NVIDIA CUDA, TensorFlow) and HPC workload scaling.</li><li>
Knowledge of distributed systems, storage solutions, and data pipelines.</li><li>
Familiar with monitoring and observability tools: Prometheus, Grafana, Datadog, or similar.</li></ul></li><li>
Soft Skills:<ul><li>
Strong problem-solving skills, with a methodical approach to troubleshooting.</li><li>
Excellent communication, leadership, and mentoring abilities.</li><li>
Ability to work collaboratively across teams in a fast-paced, dynamic environment.</li></ul></li></ul>
Preferred Qualifications<ul><li>
Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect).</li><li>
Experience with distributed ML frameworks and data engineering pipelines (e.g., Horovod, TensorFlow Distributed, Apache Airflow, Apache Spark ).</li><li>
Experience with compliance frameworks (e.g., GDPR, SOC 2, ISO 27001).</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $162,600 - $302,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 13th 2026
</div><div>Job ID
202604-108676</div></ul></div></div></div></div>

Principal Site Reliability Engineer (Intelligent Automation)

Decagon

<div>About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
About the Team
The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale.
Our mission is to secure our growing platform, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.
About the Role
Help build and scale the security foundations of Decagon AI's customer experience platform that powers AI agents for enterprise customers. You'll work with the head of Security to implement security controls, build security tooling, and strengthen our defenses against modern, AI-enabled threats while maintaining an enterprise-ready security and compliance posture. This role combines hands-on security engineering with software development. You'll build automated remediation tools, work on detection pipelines, and partner with engineering teams to improve security across our platform. Decagon's team is some of the best in the industry, so you'll work alongside a skilled and enthusiastic team.
In this role, you will<ul><li>
Implement security controls across our agent platform, covering application security, infrastructure security</li><li>
Build security tooling and automation, including automated remediation pipelines, detection systems, and testing frameworks integrated into CI/CD workflows</li><li>
Partner with engineering teams to design and review authentication systems, secrets management, and access controls</li><li>
Create detection pipelines that scale with millions of daily AI agent interactions</li><li>
Contribute to security incidents affecting operations, supporting rapid resolution while maintaining service availability</li></ul>
Your background looks something like this<ul><li>
Have 3+ years of experience in security engineering, with strong software engineering fundamentals</li><li>
Familiarity with application security concepts including authentication, authorization, vulnerability assessment, and secure development practices</li><li>
Ability to write production-quality code; you can build the tools and automation the team needs, not just identify problems</li><li>
Experience with cloud security fundamentals, ideally Google Cloud</li><li>
Exposure to enterprise security requirements such as SOC 2, ISO 27001, or GDPR</li><li>
Natural curiosity about new technologies and approaches to security problems</li><li>
Excited to work with bright colleagues out of our downtown San Francisco office</li></ul>
Even better<ul><li>
Experience building developer tools, security automation, or remediation pipelines</li><li>
Background with static analysis tools (Semgrep, CodeQL) or vulnerability management platforms</li><li>
Familiarity with securing AI/ML applications, including awareness of risks like prompt injection and adversarial inputs</li><li>
Experience with infrastructure as code (Terraform) and modern cloud development practices</li><li>
Comfortable working across the entire stack to solve problems</li></ul>
Compensation
$200K &ndash; $330K + Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:<ul><li>
Take what you need vacation policy</li><li>
Medical, Dental, and Vision benefits for you and your family</li><li>
Life Insurance and Disability Benefits</li><li>
Retirement Plan (e.g., 401K, pension)</li><li>
Parental Leave</li><li>
Fertility and family building benefits through Carrot</li><li>
Daily lunches and snacks in the office to keep you at your best</li></ul>
These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $200K - $330K</div>

Security Engineer

Encord

<div>
 
 About Us
 
 
 
 At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data &mdash; and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market.
 
 
 As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
 
 
 We are a talented and ambitious team of 90+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join us our ML team.
 
 
 
 
 The Role
 
 
 
 
 We Are Looking For An Experienced Machine Learning Engineer To Help Us Conduct Research On The State Of The Art Of Computer Vision And Solve Multifaceted Algorithmic Problems. You Will
 
 
 <ul>
 <li>
 Experiment with and adapt latest ML technologies to fit into existing tech stack
 </li>
 <li>
 Solve idiosyncratic statistical, geometric, and engineering problems
 </li>
 <li>
 Work closely with a full stack tech team to assist implementation of research solutions into the product
 </li>
 <li>
 Contribute to hiring additional talent to our rapidly growing team
 
 
 </li>
 </ul>
 The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST &amp; GraphQL, OpenCV, PyTorch, GCP, AWS &amp; CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.
 
 
 
 Qualifications
 
 
 
 The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include:
 
 
 <ul>
 <li>
 Passion for solving ML problems
 </li>
 <li>
 Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras
 </li>
 <li>
 Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning
 
 
 </li>
 </ul>
 
 
 What We Offer
 
 
 
 
 <ul>
 <li>
 Competitive salary and equity in a hyper growth startup.
 </li>
 <li>
 Real opportunities to grow. We&rsquo;re growing insanely fast and you&rsquo;ll have all the opportunities for growth that you can handle.
 </li>
 <li>
 Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.
 </li>
 <li>
 Flexible PTO to recharge.
 </li>
 <li>
 Annual learning and development budget.
 </li>
 <li>
 18 paid vacation days + federal holidays.
 </li>
 <li>
 Lots of opportunities for travel (all around the US, to London &amp; Europe).
 </li>
 <li>
 Bi-annual off-sites and monthly socials.
 </li>
 <li>
 Health, dental and vision insurance.
 
 
 </li>
 </ul>
 Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
 
 
 Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Machine Learning Engineer, Physical AI

LATENT

<div><h1 class="jobSectionHeader">Machine Learning Engineer</h1><h2 class="jobSectionHeader">
About Latent Health</h2>
Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family.
For everyone else, care is fragmented and impersonal.
Medical history is scattered across systems that don&rsquo;t communicate. Physicians have minutes to understand decades of context. And when something goes wrong, patients are left with tools that understand medicine broadly&mdash;but not the individual.
We believe this can be fundamentally rebuilt.
At Latent Health, we are building systems that understand both:<ul><li>
the population (clinical knowledge at scale)</li><li> 
and the individual (longitudinal patient history)</li></ul> 
Our models are designed to answer complex clinical questions with patient-specific context and verifiable reasoning.
Our dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. Each patient record contains extraordinary depth.<h2 class="jobSectionHeader">
ML at Latent Health</h2>
The Machine Learning team is responsible for building systems that run in real clinical workflows.
We work on:<ul><li>
Verifiable reinforcement learning at scale</li><li> 
Mid-training and post-training of foundation models</li><li> 
Novel objectives derived from longitudinal patient data</li></ul> 
We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production.
We are a small team and expect engineers to take ownership of critical systems, not components.<h2 class="jobSectionHeader">
The Role</h2>
As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows.
You will drive systems from ambiguous problem definition through to reliable production deployment, setting technical direction along the way.
We are primarily hiring for senior and staff-level engineers who are comfortable owning critical systems end-to-end.
This role involves owning systems that directly impact real patient outcomes.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure</li><li> 
Train and fine-tune large language models (LLMs) for:<ul><li> 
Clinical reasoning</li><li> 
Medical question answering</li><li> 
Evidence-grounded generation</li></ul></li><li> 
Make and own tradeoffs across accuracy, latency, cost, and safety in high-stakes production environments</li><li> 
Develop evaluation frameworks to ensure model safety and clinical validity</li><li> 
Integrate ML systems into product workflows and patient-facing applications</li><li> 
Monitor system performance in production and iterate based on real-world usage and feedback</li><li> 
Define what &ldquo;correct&rdquo; means in ambiguous clinical workflows in collaboration with engineers and clinicians</li></ul><h2 class="jobSectionHeader"> 
What We&rsquo;re Looking For</h2><ul><li>
Strong foundation in machine learning and software engineering</li><li> 
Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered</li><li> 
Experience driving ambiguous ML problems from 0 1, including problem formulation, model design, and productionization</li><li> 
Hands-on experience with PyTorch or similar frameworks</li><li> 
Ability to operate independently in high-ambiguity environments with minimal guidance</li><li> 
Strong product and engineering judgment &mdash; you know when to use ML, when not to, and how to scope problems accordingly</li><li> 
Comfort working in a fast-moving, early-stage environment</li><li> 
Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)</li></ul><h2 class="jobSectionHeader"> 
Nice to Have</h2><ul><li>
Experience deploying LLMs in production environments</li><li> 
Experience building distributed systems or large-scale data pipelines</li><li> 
Experience working with clinical, biomedical, or other regulated datasets</li></ul><h2 class="jobSectionHeader"> 
Why Join Latent Health</h2><ul><li>
Work on high-stakes problems with real impact on patient care</li><li> 
Build systems that define how AI is trusted in clinical decision-making</li><li> 
Significant ownership in a small, high-caliber team</li><li> 
Competitive compensation and meaningful equity</li></ul><h2 class="jobSectionHeader"> 
Location</h2>
We are based in San Francisco and work together in person.
We spend most of the week in the office and prioritize candidates who are excited to work this way.<h2 class="jobSectionHeader">
Compensation</h2><ul><li>
Base salary: $225,000 &ndash; $300,000+</li><li> 
Meaningful equity in an early-stage, Series A company</li></ul><h2 class="jobSectionHeader"> 
Closing</h2>
If you&rsquo;re interested in building systems that bring truly personalized healthcare to millions of patients, we&rsquo;d love to talk.</div>

Machine Learning Engineer

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

EvenUp

<div>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.<h1 class="jobSectionHeader">
Life as an Engineer at EvenUp</h1><h1 class="jobSectionHeader">
Location &amp; Work Model</h1>
This is a hybrid role, with an expectation of being in our Toronto office three days per week.<h1 class="jobSectionHeader"> 
About the Team</h1>
EvenUp&rsquo;s document products empower attorneys to represent their clients more effectively and secure better outcomes. With over $1.5B in damages claimed to date, the Document Generation team is developing an industry-leading, AI-native platform for generating legal documents in personal injury law.
As Engineering Manager for Document Generation, you will lead a high-impact team building the systems at the core of EvenUp&rsquo;s business. You&rsquo;ll balance strategic leadership with hands-on technical contribution, collaborating closely with founders, product, and cross-functional partners to scale AI-native workflows that directly advance EvenUp&rsquo;s mission to ensure personal injury victims receive fair compensation.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Lead and scale a team building AI-native document generation workflows</li><li>
Drive execution across complex, mission-critical initiatives tied to EvenUp&rsquo;s core products</li><li>
Partner with Product, Design, Legal, and Operations to deliver high-quality, customer-centric solutions</li><li>
Establish and uphold a high bar for engineering quality, reliability, and operational excellence</li><li>
Guide technical decision-making across architecture, system design, and AI integration</li><li>
Use data-driven insights to continuously improve delivery velocity, quality,</li></ul><h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Team Leadership &amp; Strategy: Set and communicate a clear technical and execution vision aligned with EvenUp&rsquo;s broader goals. Lead engineers through the full software lifecycle, from planning and architecture to deployment and monitoring. Foster a culture of ownership, accountability, collaboration, and continuous learning</li><li>
Product &amp; AI-Native Development: Guide the development of advanced AI workflows, including LLM-based systems and expert-review pipelines. Balance innovation and pragmatism when scaling AI-driven products in production environments. Contribute hands-on as needed, particularly in complex or high-impact technical areas</li><li>
Cross-functional Collaboration: Work closely with founders, product managers, designers, and stakeholders to scope, prioritize, and deliver initiatives. Translate business and customer needs into clear technical direction for the team</li><li>
Engineering Excellence &amp; Operations: Champion best practices across architecture, coding standards, testing, security, observability, and reliability. Ensure systems handling sensitive data are secure, compliant, and production-ready. Oversee operational ownership, including incident response, on-call health, and reducing operational toil</li><li>
Mentorship &amp; Growth: Recruit, mentor, and develop engineers through regular feedback, coaching, and career development. Support performance management, growth planning, and team health</li></ul><h1 class="jobSectionHeader">
What We Look For</h1><ul><li>
4+ years of direct people-management experience leading software engineering teams</li><li>
Proven ability to ship and scale complex, high-quality software systems</li><li>
Strong technical background with experience in distributed systems and modern backend architectures</li><li>
Demonstrated success balancing strategic leadership with hands-on technical contribution</li><li>
Experience leading teams in fast-paced, high-growth environments</li><li>
Excellent communication skills and ability to influence across cross-functional partners</li><li>
Strong sense of ownership, accountability, and bias toward execution</li></ul><h1 class="jobSectionHeader">
Bonus</h1><ul><li>
Experience or strong interest in AI/ML, LLM-based systems, or legal tech</li><li>
Background in AI-native or social impact&ndash;driven products</li></ul>
#LI-Hybrid
Notice to Candidates:
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.
Benefits &amp; Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:<ul><li>
Choice of medical, dental, and vision insurance plans for you and your family.</li><li>
Additional insurance coverage options for life, accident, or critical illness.</li><li>
Flexible paid time off, sick leave, short-term and long-term disability.</li><li>
10 US observed holidays, and Canadian statutory holidays by province.</li><li>
A home office stipend.</li><li>
401(k) for US-based employees and RRSP for Canada-based employees.</li><li>
Paid parental leave.</li><li>
A local in-person meet-up program.</li><li>
Hubs in San Francisco and Toronto.</li></ul>
Please note the above benefits &amp; perks are for full-time employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Compensation Range: CA$179,600 - CA$243,088</div>

Engineering Manager, AI DocGen

Opex Corporation

<div>Account Executive 
Position Summary
OPEX Corporation is currently looking for an Account Executive to join our team with a sales region of northern California, northern Nevada, Oregon and Washington. If you are talented, driven and an experienced Sales professional then OPEX may be the right place for you to pursue your career. 
OPEX Corporation is a recognized global technology leader in high-speed mailroom automation, document imaging, and warehouse automation . Our company manufactures and designs innovative mail automation equipment integrated with software solutions for business mailing operations, postal agencies, and letter shops across the world. 
Responsibilities: 
The Account Executive serves as a Sales Executive for new and existing accounts. The Account Executive facilitates all aspects of the sales process including but not limited to:
<ul><li>Understands the company's vision, mission, and strategy; understands business unit objectives and sets/accomplishes individual performance goals accordingly
</li><li>Identifies new sales opportunities with new and existing customers
</li><li>Qualifies sales opportunities through market / customer research and understanding the client&rsquo;s needs
</li><li>Communicates value proposition to customers, proposes sales solutions to customers and reevaluates solutions where necessary
</li><li>Managing the sales process from purchase order to installation
</li><li>Closes sales opportunities by securing purchase orders or signed proposals
</li>Provides outstanding customer service and post sales satisfaction facilitating long term relationships for repeat business with customers 
<li>
</li></ul>Qualifications:
<ul><li>3 plus years of successful Outside B2B Sales experience
</li><li>Bachelor&rsquo;s Degree preferred
</li><li>Prospecting, hunter mentality, and aggressive self-motivated individual
</li><li>Industry experience: Document Imaging and/or Document Management space desirable
</li><li>Sales or Operations experience is required
</li><li>Tech savvy and proficiency using Microsoft Office Suite Software (with an emphasis on Excel) strongly preferred
</li><li>Consultative selling skills &ndash; ability to assess client needs and create solution
</li><li>Average of 2-3 overnights within territory per month, remainder is work from home
</li><li>Strong planning, organization, communication, problem solving and decision-making skills
</li><li>Valid Driver&rsquo;s License with a good driving record (within the last 5 years) 
</li></ul>What OPEX Corporation Offers:
<ul><li>BASE SALARY, PLUS UNCAPPED COMMISSION
</li><li>Company Car provided
</li><li>Great product to sell, support structure, marketing specialist, happy customers
</li><li>Growing company &ndash; internationally and domestic
</li><li>Growth Opportunity
</li><li>Freedom to go after, conquer territory, and build book of business
</li><li>International leader in the state-of-the-art mail-handling and scanning equipment systems
</li>Significant engineering investment in new product development 
<li>
</li></ul>The salary range is $70k-$75k, based on experience.</div>
 <div>Company Overview
OPEX Corporation is more than a manufacturer of machines. We continuously reimagine technology to power the future for our customers.
With an innovative approach, we engineer unique automated solutions that support our customers so they can solve the most pressing business challenges for both today and tomorrow. Our scalable Warehouse, Document, and Mail Automation solutions improve workflow, accelerate change, and drive efficiencies in infrastructure.
We are a family-owned and operated organization with more than 1400 committed employees who innovate, manufacture, install, and service products that are helping transform industry every day. We listen to our customers, respect each other, and work together to help reimagine the future through automated solutions.
At OPEX, we are Next Generation Automation.
Benefits:
Benefits include, but are not limited to:
<ul><li>Full medical, dental and vision with low employee contribution rates
</li><li>Paid holidays and PTO allowance
</li><li>401k with matching and profit sharing
</li><li>Basic life insurance, short term and long-term disability
</li>Tuition reimbursement available 
<li>
</li></ul> 
OPEX Corporation is an Equal Opportunity/Affirmative Action Employer, without regard to race, color, religion, sex, national origin, age, disability, and protected veteran status.</div>

Account Executive - Northern CA, Northern NV, OR and WA

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