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About General Medicine As a software engineer at General Medicine, you’ll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we’re looking for We’re looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We’re looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly — we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA — no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don’t expect you to have a healthcare background (though it’s great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications • 2+ years of experience building web apps as a full-stack engineer, • Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn’t the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We’re an experienced team that has built a company in this space before, our product has clear product-market fit, and we’ve raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you’re an ambitious and entrepreneurial software engineer and this resonates, please apply.

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

1\. Role Overview Mercor is collaborating with a leading AI organization to identify experienced Database Administrators for a high-priority training and evaluation project. Freelancers will be tasked with performing a wide range of real-world database operations to support AI model development focused on SQL, systems administration, and performance optimization. This short-term contract is ideal for experts ready to bring practical, production-grade insights to frontier AI training efforts. * * * 2\. Key Responsibilities - Design and optimize complex SQL queries using EXPLAIN plans and indexing strategies - Implement schema changes with CREATE/ALTER statements and rollback planning - Configure and validate automated backup and restoration procedures - Manage user roles and permissions following defined security policies - Export/import data between systems with validation checks and encoding integrity - Execute data quality checks and report violations with remediation scripts - Apply statistics updates, manage transaction logs, and test failover recovery - Perform compliance data extractions, patching, and system audits for enterprise use cases - Document processes and performance findings in clear, reproducible formats * * * 3\. Ideal Qualifications - 5+ years of experience as a Database Administrator working in production environments - Expert-level SQL skills and proficiency with PostgreSQL, MySQL, and/or SQL Server - Strong background in performance tuning, security, data integrity, and schema design - Familiarity with compliance standards (e.g., SOX), data export formats, and backup tooling - Comfortable handling large datasets, interpreting execution plans, and managing database infrastructure end-to-end - Ability to produce production-quality scripts and documentation for technical audiences * * * 4\. More About the Opportunity - Remote and asynchronous — work on your own schedule - Expected commitment: minimum 30 hours/week - Project duration: ~6 weeks * * * 5\. Compensation & Contract Terms - $90–100/hour for U.S.-based freelancers (localized rates may vary) - Paid weekly via Stripe Connect - You’ll be classified as an independent contractor * * * 6\. Application Process - Submit your resume followed by domain expertise interview and short form * * * 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves real-world engineering work—including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. * * * You are good fit if you: - Have experience using coding agents as part of your software engineering workflow. - Have 3+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments. - Hold a Computer Science degree from a prestigious university. - Have demonstrated success leading teams to build complex database schemas. - Possess expert-level proficiency in API development, including creation, testing, and integration. - Are highly skilled in SQL and database structuring. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * About the Role - This project will be a high-impact 24-hour sprint that will start in the next 1-2 weeks - This role would offer a task-based pay (top performers in the previous iteration made upwards of $1000 in the sprint) * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves real-world engineering work—including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. * * * You are good fit if you: - Have experience using coding agents as part of your software engineering workflow. - Have 3+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments. - Have access to large codebases you own - Hold a Computer Science degree from a prestigious university in the U.S., Canada, or the UK. - Have demonstrated success leading teams to build complex database schemas. - Possess expert-level proficiency in API development, including creation, testing, and integration. - Are highly skilled in SQL and database structuring. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 1–2 months, with potential for extension. * * * Role Start Date - This role will begin mid to late-September with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Title: Linguist Locations: Burlingame, CA or Redmond, WA 🔍 Position Summary We are seeking a Linguist III to support the development of language components for next-generation voice-enabled technologies. This role involves linguistic data analysis, LLM-powered data synthesis, annotation, prompt engineering, and quality evaluation. 🧠 Key Responsibilities • Provide linguistic expertise for data powering large language models., • Partner with linguistic + data operations teams on data collection, curation, and annotation., • Evaluate and curate datasets for ML model training using LLM tools., • Assess data quality and model performance., • Perform prompt engineering tasks., • Create annotation guidelines enabling high-quality, consistent labeling., • Develop complex linguistic analyses collaboratively., • Encode rule-based linguistic patterns (e.g., using regex). 🎓 Required Qualifications • Bachelor’s in Linguistics, Computational Linguistics, or related field., • Experience with regular expressions., • Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, etc., • Proficiency in Python., • Experience with SQL, spreadsheets, and data analysis., • Experience working with speech + text data., • Familiarity with LLMs and prompt engineering., • Strong communication + organizational skills., • Ability to work in a fast-paced, collaborative environment. ⭐ Preferred Qualifications • Master’s or PhD in Linguistics or related field., • Experience with ML frameworks, NLP tools, and libraries., • 2–3 years prior experience as a Linguist., • Experience in conversational AI, ML support, or LLM-related work.

I’m partnering with one of the most exciting companies at the intersection of AI, healthcare, and consumer tech — a Series B startup that’s redefining preventative care through technology and design. This is a chance to join as the third Product Manager, shaping a first-of-its-kind platform that’s already scaling at record pace. You’ll work alongside exceptional teammates from top-tier startups and collaborate directly with leadership obsessed with building world-class product experiences. What you’ll do: • Turn ambitious concepts into features people love — from research and testing to delivery., • Own your roadmap, track impact, and continuously iterate to drive measurable outcomes., • Stay plugged into the latest in consumer product strategy and experimentation. Ideal profile: • 4–10 years’ experience as a Product Manager (consumer or marketplace focus preferred), • Strong analytical mindset — comfortable with tools like Mixpanel, Amplitude, PostHog, SQL, • Experience with A/B testing or mobile product management is a plus Why this is special: This company has raised $75M+ from top-tier investors and boasts one of the best growth-to-burn ratios since early Airbnb, Stripe, and WhatsApp. The team is 75 strong and growing fast — now’s the time to join while impact is still huge. • $175K–$230K + highly competitive equity, • Hybrid — 2 days/week in office If you’re passionate about building category-defining products in health and AI please get in touch asap

Salesforce Marketing Cloud Consultant (Contract-to-Hire) Location: San Francisco, CA (Hybrid — 3 Days Onsite / 2 Days Remote) Contract Type: 6 Month - Contract to Hire Pay Rate: Up to $115/hour Overview We are seeking a highly skilled Salesforce Marketing Cloud Consultant to join our client’s dynamic marketing technology team in San Francisco, CA. This is a contract-to-hire opportunity for a hands-on consultant who thrives in hybrid environments (3 days onsite, 2 remote). The ideal candidate will have a proven ability to collaborate seamlessly with Marketing Cloud Engineers, drive cross-cloud integrations, and design data-driven campaigns that enhance customer engagement. Experience with AMPscript, Journey Builder, and data automation is essential, and a Platform Developer II certification is highly preferred. Responsibilities • Partner with Marketing Cloud Engineers to design and implement multi-channel marketing automation strategies., • Build, configure, and optimize Journeys, Automations, and Email Campaigns in Salesforce Marketing Cloud., • Ensure seamless data integration between Marketing Cloud, Sales Cloud, and Data Cloud environments., • Collaborate with cross-functional stakeholders to translate business goals into scalable marketing automation solutions., • Create and maintain audience segmentation, subscriber management, and data extensions to improve targeting accuracy., • Leverage AMPscript and SQL to personalize communications and enhance engagement., • Participate in the end-to-end campaign lifecycle — from design to testing, deployment, and performance reporting., • Support the ongoing optimization of the Marketing Cloud platform, ensuring best practices in data hygiene, compliance, and automation efficiency., • Work collaboratively within an Agile/Scrum framework, providing input into sprint planning and retrospectives. Qualifications • 5+ years of Salesforce Marketing Cloud experience with a strong focus on Journey Builder, Automation Studio, Email Studio, and Marketing Cloud Connect., • Hands-on experience working collaboratively with Marketing Cloud Engineers and Developers on cross-cloud projects., • Solid understanding of data models, APIs, and MuleSoft or other integration frameworks., • Proficiency with AMPscript, SQL, HTML/CSS, and custom personalization logic., • Strong business acumen and communication skills; able to act as a bridge between marketing and technical teams., • Salesforce Platform Developer II certification preferred (Marketing Cloud or App Builder certifications are a plus)., • Bachelor’s degree in Computer Science, Marketing, or related field. Contract Details • Type: Contract-to-Hire, • Duration: Initial 6-month contract with strong potential for full-time conversion, • Schedule: Hybrid — 3 days onsite / 2 remote (San Francisco, CA), • Rate: Up to $115/hour

HCLTech is looking for a highly talented and self- motivated Retail Enterprise Systems Data Domain SME to join it in advancing the technological world through innovation and creativity. Job Title: Retail Enterprise Systems Data Domain SME Job ID: 2791101 Position Type: Fulltime Location: San Fransico, CA Role/Responsibilities Process Analysis & Optimization • Assess and map current-state processes across HR and Finance workflows., • Assess current processes to identify gaps, inefficiencies, and opportunities for data-driven improvements in HR and Finance operations., • Design future-state processes that improve efficiency, reduce costs, and enhance strategic outcomes for both HR and Finance departments., • Work closely with HR and Finance client teams to understand business objectives, pain points, and success criteria within their respective domains., • Facilitate workshops, interviews, and design sessions to co-create solutions with stakeholders., • Work closely with stakeholders to identify and document KPI and business requirements for new reports, dashboards, and analytical tools relevant to HR and Finance., • Collaborate with technology teams to design, develop, and maintain reports and interactive dashboards using Business Intelligence that track HR and Finance KPIs and present complex data findings in a clear, compelling manner., • Develop training materials and deliver sessions to end-users, ensuring they are proficient in using new reports and dashboards for effective decision-making., • Establish metrics and monitoring frameworks to measure process performance over time., • Conduct periodic audits to ensure ongoing alignment with business and customer needs., • 7+ years of experience in process consulting, business analysis, or operations improvement., • Strong background in process modeling, workflow design, and business process management (BPM)., • Experience in the retail industry with a strong understanding of HR and Finance operations and dynamics within that context., • Excellent facilitation skills for workshops, stakeholder interviews, and collaborative sessions., • Strong analytical and problem-solving skills, with the ability to interpret data and provide strategic recommendations., • Strong communication skills, with the ability to translate complex operational issues into actionable insights., • Familiarity with and practical experience using data visualization and BI tools such as Tableau or Power BI., • Experience with process improvement methodologies (e.g., Lean, Six Sigma)., • Experience in HR and Finance optimization using analytical models (e.g., workforce analytics, financial forecasting models)., • Experience with consulting in enterprise or multi-stakeholder environments., • Basic knowledge of SQL for data extraction and querying., • Familiarity with HRIS and Financial Management Systems (e.g., Workday, Oracle), common in the retail industry., • Retail Domain Techno Functional Experience, Communication Skills, Requirement Gathering., • Strong skillset in design, solution and supporting data democratization tools like Power BI, and SQL. ., • Experience in Retail Enterprise Systems such as HR, Financials, Real Estate, Training, etc. Pay and Benefits Pay Range Minimum: $ 79,000 per year Pay Range Maximum: $161,700 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best

Axle builds AI Digital Workers for financial compliance teams. Our agents investigate alerts, review customers and transactions, and generate audit-ready narratives so banks and fintechs can move faster with far less manual work. The founding team has built and sold companies before, with over $300M in collective value creation. We’ve raised $6.2M in seed funding and are growing from 8 to 15 teammates. We’re backed by Diagram Ventures, Mistral Ventures, and Uphonest Capital. We’re still a small team and you’ll be our first deployment strategist. You’ll lead the deployment of AI agents into highly regulated banking environments, helping banks and fintechs fight financial crime at scale. We’re looking for people of exceptional competence who want to help build the future of AI-driven financial compliance. What you’ll do here • Lead agent deployments to our financial services clients., • Manage pilots for our new clients (plan, execute, present results)., • Expand and demo new agents to our current customers., • Make lots of decisions quickly., • Take risks. What you bring to the table • Track record of translating complex technical concepts into clear, actionable insights., • Experience with programming, scripting, or statistical packages (Python, R, SQL)., • A pragmatic approach to building fast at the early stages of a company., • Familiarity and deep interest in the rapidly changing capabilities of LLMs., • Interest in discovering what problems our customers face and how we can solve them., • A sense of agency and urgency. What we offer • $135k - $250k USD salary, • $100k - $300k USD equity, • 100% Health/Vision/Dental, • We sponsor visas for exceptional candidates worldwide

Staff Data Scientist | San Francisco | $250K–$300K + Equity We’re partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they’ve secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you’ll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you’ll do: • Drive deep-dive analyses on user behavior, product performance, and growth drivers, • Design and interpret A/B tests to measure product impact at scale, • Build scalable data models, pipelines, and dashboards for company-wide use, • Partner with Product and Engineering to embed experimentation best practices, • Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we’re looking for: • 5+ years in data science or product analytics at scale (consumer or marketplace preferred), • Advanced SQL and Python skills, with strong foundations in statistics and experimental design, • Proven record of designing, running, and analyzing large-scale experiments, • Ability to analyze and reason about ML models (classification, recommendation, LLMs), • Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security, • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient, • Tackle complex challenges in distributed systems, databases, and AI infrastructure, • Collaborate with technical leadership to define and refine the product roadmap, • Write high-quality, well-tested, and maintainable code, • Contribute to the open-source community and engage with developers in the space Your Vibe: • 3+ years of professional distributed database systems experience, • Expertise in building and operating scalable, reliable and secure database infrastructure systems, • Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure, • Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB., • Programming skills in Python, • Passion for building developer tools and scalable infrastructure, • Available to collaborate onsite 2 days a week Our Vibe: • Relaxed work environment, • 100% paid top of the line health care benefits, • Full ownership, no micro management, • Strong equity package, • 401K, • Unlimited vacation, • An actual work/life balance, we aren’t trying to run you into the ground. We have families and enjoy life too!

Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams — helping healthcare systems operate faster, more accurately, and more efficiently. Role: Senior Data/AI/ML Software Engineer Location: Remote US Compensation: $150K–$300K (level & location based) + 0.1%–0.5% equity YOE: 7+ years in AI/ML or full-stack SWE Visa: H1B transfers + possible new H1B sponsorship Type: Full-time Why you should consider this • Build the intelligence layer behind a platform transforming clinical workflows at scale., • Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies., • High-ownership role in a small, senior, research-driven engineering team (20 people)., • Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space., • Direct real-world impact: your work will be used daily by clinicians and care teams., • Remote-first, high-autonomy culture with strong technical leadership. About the role • Build and enhance clinical information extractors, summarizers, and automation systems., • Scrape, process, transform, query, and analyze structured/unstructured clinical data., • Evaluate system performance and refine the clinical knowledge graph., • Develop secure, compliant code aligned with HIPAA & SOC 2., • Contribute to core data/AI/ML pipelines and infrastructure., • Participate in an on-call rotation to ensure system uptime. Requirements / Who is the ideal fit • 7+ years of experience in AI/ML engineering or full-stack SWE., • Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines., • Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas., • Experience working with large, messy, clinical/healthcare datasets (nice-to-have)., • Familiarity with secure coding, privacy, and compliance standards.

We’re looking for a Lead Data Engineer to spearhead the design, implementation, and iteration of a world-class, modern data infrastructure that powers analytics, data science, and ML/AI systems. You will be in the driver’s seat for a new function on the Engineering team and will help chart its future. This role is highly strategic, cross-functional, and hands-on. If you’re passionate about building 0→1 data platforms collaboratively and have experience scaling them at a rapidly growing startup, this role is for you. What you will do • Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization., • Partner closely with Data Science, Operations Analytics, Engineering, and Product on the design and implementation of scalable data pipelines, models, and solutions., • Drive the development of foundational data products and tools to power self-service analytics., • Actively contribute to and influence engineering processes, culture, practices, and systems., • Serve as a technical thought leader on data engineering best practices. About you • Strong technical foundation with the modern data engineering stack (dbt, PySpark, Fivetran, Snowflake, Lakehouse, CDPs, ETL tools, etc.)., • Advanced knowledge of SQL and Python., • Deep expertise in data pipelines, distributed systems, and analytics infrastructure., • Hands-on experience with data warehousing technologies, data lake architecture, and ETL pipelines/tools., • Deep understanding of BI tooling infrastructure and semantic layer design (e.g., Looker, Tableau, Metabase, Mode)., • Experience and interest in leading major architecture initiatives from the ground up., • Believer in applying best-in-class software engineering practices to data systems., • Interest in coaching/mentoring junior engineers. Bonus points • Experience building data products that meet HIPAA requirements., • Built platforms that support real-time and batch ML/AI products and systems., • Experience integrating EHR and other complex third-party system data. For more info or to apply please share your resume to .

Title: Oracle Financial Reporting & Analytics Consultant Location: Remote (Occasional Travel Covered by Client) or Bay Area Role Overview The Oracle Financial Reporting & Analytics Consultant will lead the design and development of reporting solutions across OTBI, BI Publisher, FR Studio, and Narrative Reporting. This role will focus on creating scalable, repeatable reporting packages and close-automation capabilities for Finance and Accounting stakeholders. Core Skills & Experience • 9–10 years of hands-on experience across the Oracle Financial reporting stack., • Strong expertise with:, • OTBI (Oracle Transactional Business Intelligence), • BI Publisher, • FR Studio (Financial Reporting Studio), • Narrative Reporting, • Proven ability to build automated GL/Close dashboards, reconciliations, and operational reporting solutions., • Strong SQL, data modeling, and data quality skills., • Solid understanding of data lineage and flows across ERP → EPM → Data Warehouse environments., • Strong controls mindset, with focus on accuracy, governance, audit readiness, and repeatability. Responsibilities • Architect and develop financial and operational reporting across OTBI, BIP, FR, and Narrative Reporting., • Build standard and automated reporting packages to streamline period close activities., • Design reconciliation and variance analysis frameworks using Oracle reporting tools., • Partner with Finance, Accounting, and FP&A teams to translate business needs into scalable reporting solutions., • Ensure reporting solutions meet data governance, security, and compliance standards., • Optimize performance of reporting processes and automate manual workflows whenever possible., • Support integrations and data flows between ERP, EPM, and downstream analytics platforms. About Trident: Trident Consulting is an award-winning IT/engineering staffing company founded in 2005 and headquartered in San Ramon, CA. We specialize in placing high-quality vetted technology and engineering professionals in contract and full-time roles. Trident's commitment is to deliver the best and brightest individuals in the industry for our clients' toughest requirements. Some of our recent awards include: 2022, 2021, 2020 Inc. 5000 fastest-growing private companies in America 2022, 2021 SF Business Times 100 fastest-growing private companies in Bay Area

Hadoop Administrator About the Team: The mission of the Big Data Operations team is to help teams harness the power of Big Data by providing reliable and robust platform. We’re currently building NextGen Big Data platform on AWS, while we maintain and scale the existing platform in our datacenters to meet current demands. We’re responsible for building, capacity planning, security, and disaster recovery for our NextGen platform in AWS. It is very important for us to provide greater visibility into the operational telemetry of our Big Data platform via collecting logs and metrics from various sources and setup alarms accordingly to identify issues proactively rather than reacting to them. What you’ll do: • In this job, you’ll design, build, scale and maintain the infrastructure in both datacenter and AWS to support Big Data applications., • You will design, build, and own the end-to-end availability of Big Data platform in both AWS and datacenter., • You will improve the efficiency, reliability, and security of our Big Data infrastructure, while making sure that our developers & analysts have a smooth experience with it., • You will work on automation to build and maintain new platform on AWS., • You will build custom tools to automate day-to-day operational tasks., • You will be responsible for setting the standards for our production environment., • You will take part in 24X7 on-call rotation with the rest of the team and respond to pages and alerts to investigate issues in our platform. What you'll have: • Strong experience with Hadoop ecosystem like HDFS, Yarn, Hive, Spark, Oozie, Presto and Ranger, • MUST have strong experience with Amazon EMR., • Good working experience with RDS and good understanding on IaaS, PaaS, • Strong foundation of Hadoop security including SSL/TSL, Kerberos, Role based authorization, • Performance tuning experience of Hadoop clusters, ecosystem components and MR/Spark jobs, • Experience with Infrastructure automation using Terraform, CI/CD pipelines (GIT, Jenkins etc), and configuration management tools like Ansible, • Able to leverage technologies like Kubernetes/Docker (ELK) to help our Data Engineers/Developers scale their efforts in creating new and innovative products., • Experience with providing and implementing monitoring solutions based on logs using CloudWatch, CloudTrail and Lambda etc., • Ability to do post-mortem if something bad happens to your systems. Identify what went wrong and provide detailed RCA., • Proficiency in Bash & Python or Java, • Good understanding of all aspects of JRE/JVM and GC tuning, • Hands-on experience with RDBMS (Oracle, MySQL) and basic SQL, • Hands-on experience with Snowflake is a plus, • Hands-on experience with Qubole and Airflow is a plus

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security, • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient, • Tackle complex challenges in distributed systems, databases, and AI infrastructure, • Collaborate with technical leadership to define and refine the product roadmap, • Write high-quality, well-tested, and maintainable code, • Contribute to the open-source community and engage with developers in the space Your Vibe: • 5+ years experience designing building distributed database systems, • Expertise in building and operating scalable, reliable and secure database infrastructure systems, • Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure, • Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB., • Programming skills in Python, • Passion for building developer tools and scalable infrastructure Our Vibe: • Relaxed work environment, • 100% paid top of the line health care benefits, • Full ownership, no micro management, • Strong equity package, • 401K, • Unlimited vacation, • An actual work/life balance, we aren’t trying to run you into the ground. We have families and enjoy life too!

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Founding Backend Engineer UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company’s context, goals, and culture giving teams unprecedented visibility into what’s happening across the business. They're backed by top-tier global investors and experienced operators from some of the world’s leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software. What You’ll Do • Architect and build scalable backend and platform systems from the ground up, • Develop and deploy AI/LLM-powered features using large, complex datasets, • Design robust APIs and integrations to connect data and workflows across systems, • Take end-to-end ownership of projects in a fast-paced, evolving environment, • Collaborate closely with founders and cross-functional teams to influence technical strategy What We’re Looking For • 3–7 years of backend or platform engineering experience, • Deep experience with Python, FastAPI, AWS, and SQL/Postgres, • Proven ability to design and scale reliable, production-grade systems, • Strong understanding of data models, infrastructure, and performance optimisation, • Bonus: experience with LLMs, RAG, or agentic frameworks, • Bias toward ownership, rapid learning, and shipping high-quality systems Ideal Background • Built and scaled production systems at fast-moving startups or top-tier tech companies, • Computer Science or equivalent technical background from a strong academic program, • Excited by early-stage challenges, ambiguity, and end-to-end ownership, • Obsessed with detail, craftsmanship, and problem-solving, • Willing to put in focused effort to build something enduring

HCLTech is looking for a highly talented and self- motivated Retail Omnichannel Systems Data Domain SME to join it in advancing the technological world through innovation and creativity. Job Title: Retail Omnichannel Systems Data Domain SME Job ID: 2791105 Position Type: Fulltime Location: San Fransico, CA Role/Responsibilities Process Analysis & Optimization • Assess and map current-state processes across HR and Finance workflows., • Assess current processes to identify gaps, inefficiencies, and opportunities for data-driven improvements in HR and Finance operations., • Design future-state processes that improve efficiency, reduce costs, and enhance strategic outcomes for both HR and Finance departments., • Work closely with HR and Finance client teams to understand business objectives, pain points, and success criteria within their respective domains., • Facilitate workshops, interviews, and design sessions to co-create solutions with stakeholders., • Work closely with stakeholders to identify and document KPI and business requirements for new reports, dashboards, and analytical tools relevant to HR and Finance., • Collaborate with technology teams to design, develop, and maintain reports and interactive dashboards using Business Intelligence that track HR and Finance KPIs and present complex data findings in a clear, compelling manner., • Develop training materials and deliver sessions to end-users, ensuring they are proficient in using new reports and dashboards for effective decision-making., • Establish metrics and monitoring frameworks to measure process performance over time., • Conduct periodic audits to ensure ongoing alignment with business and customer needs., • Share best practices and create reusable frameworks for process evaluation and improvement. Qualifications & Experience • 7+ years of experience in process consulting, business analysis, or operations improvement., • Strong background in process modeling, workflow design, and business process management (BPM)., • Experience in the retail industry with a strong understanding of HR and Finance operations and dynamics within that context., • Excellent facilitation skills for workshops, stakeholder interviews, and collaborative sessions., • Strong analytical and problem-solving skills, with the ability to interpret data and provide strategic recommendations., • Strong communication skills, with the ability to translate complex operational issues into actionable insights., • Familiarity with and practical experience using data visualization and BI tools such as Tableau or Power BI., • Experience with process improvement methodologies (e.g., Lean, Six Sigma)., • Experience in HR and Finance optimization using analytical models (e.g., workforce analytics, financial forecasting models)., • Experience with consulting in enterprise or multi-stakeholder environments., • Basic knowledge of SQL for data extraction and querying., • Familiarity with HRIS and Financial Management Systems (e.g., Workday, Oracle), common in the retail industry., • Retail Domain Techno Functional Experience, Communication Skills, Requirement Gathering,, • Strong skillset in design, solution and supporting data democratization tools like Power BI, and SQL., • Experience in Retail Omnichannel systems. Pay and Benefits Pay Range Minimum: $ 79,000 per year Pay Range Maximum: $161,700 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best

Job Title: Business Operations Analyst Location: On Site - San Francisco, California (94121) Salary: $76,666-$100,000 Skills: Business Ops Automation, SQL, Report Building, AI Chat, Automate, Technology Industry, start-up About the Technology Company / The Opportunity: Are you a proactive Business Ops Analyst eager to drive impactful change in the fast-evolving technology sector? Our client, a forward-thinking start-up in the Technology industry, offers the opportunity to analyze complex business processes and champion automation initiatives. This San Francisco-based role provides the chance to collaborate across insurance, payroll, and private equity domains, leveraging cutting-edge tools and platforms to build reliable solutions that drive business performance. This role puts you at the center of scaling internal systems, streamlining processes, and leveraging AI to build smart workflows. You’ll have the opportunity to design automations, generate insights through data, and directly influence how the business operates — all while collaborating with a forward-thinking leadership team. Responsibilities: • Oversee day-to-day business operations and identify opportunities for optimization, • Build automations and workflows using n8n and other no/low-code tools, • Create and maintain reports and data pipelines using SQL, • Implement AI tools (e.g., ChatGPT, Claude) to enhance processes and internal systems, • Collaborate with leadership to identify operational bottlenecks and design solutions, • Serve as a key liaison between operations, engineering, and strategy teams Must-Have Skills: • Demonstrated experience as a Business Analyst within the technology sector., • Strong proficiency in SQL for data analysis and reporting., • Hands-on experience with automation tools and technology platforms., • Ability to design, build, and optimize business reports and workflows., • Expertise in insurance, payroll, or private equity processes. Nice-to-Have Skills: • Familiarity with insurtech solutions and industry compliance standards., • Knowledge of advanced AI platforms such as Claude and ChatGPT., • Exposure to Private Equity operational frameworks., • Experience implementing automation in cross-functional teams., • Strong communication skills for stakeholder presentations and change management.

Midjourney is a research lab exploring new mediums to expand the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. We have no investors, no big company controlling us, and no advertisers. We are 100% supported by our amazing community. Our tools are already used by millions of people to dream, to explore, and to create. But this is just the start. We think the story of the 2020s is about building the tools that will remake the world for the next century. We're making those tools, to expand what it means to be human. Core Responsibilities: • Design and maintain data pipelines to consolidate information across multiple sources (subscription platforms, payment systems, infrastructure and usage monitoring, and financial systems) into a unified analytics environment, • Build and manage interactive dashboards and self-service BI tools that enable leadership to track key business metrics including revenue performance, infrastructure costs, customer retention, and operational efficiency, • Serve as technical owner of our financial planning platform (Pigment or similar), leading implementation and build-out of models, data connections, and workflows in partnership with Finance leadership to translate business requirements into functional system architecture, • Develop automated data quality checks and cleaning processes to ensure accuracy and consistency across financial and operational datasets, • Partner with Finance, Product and Operations teams to translate business questions into analytical frameworks, including cohort analysis, cost modeling, and performance trending, • Create and maintain documentation for data models, ETL processes, dashboard logic, and system workflows to ensure knowledge continuity, • Support strategic planning initiatives by building financial models, scenario analyses, and data-driven recommendations for resource allocation and growth investments Required Qualifications: • 3-5+ years experience in data engineering, analytics engineering, or similar role with demonstrated ability to work with large-scale datasets, • Strong SQL skills and experience with modern data warehousing solutions (BigQuery, Snowflake, Redshift, etc.), • Proficiency in at least one programming language (Python, R) for data manipulation and analysis, • Experience with BI/visualization tools (Looker, Tableau, Power BI, or similar), • Hands-on experience administering enterprise financial systems (NetSuite, SAP, Oracle, or similar ERP platforms), • Experience working with Stripe Billing or similar subscription management platforms, including data extraction and revenue reporting, • Ability to communicate technical concepts clearly to non-technical stakeholders

We are looking for a Software Engineer (Fresh Grads) at a YC backed ConstructionTech Startup. You must be a world-class engineer who loves simplifying complex systems, unifying fragmented data, and building high-scale backend systems. Role responsibilities • Unification: we’re unifying dozens-to-hundreds of fragmented systems under a single standard that we define. Our unification covers data objects, data models, authentication, account-linking UX, and features like filters and pagination. When designing any new feature, we have to do it in a scalable way. For example, when adding filters, we have to research each system we support (and plan to support) and create a generic, system-agnostic solution., • On-prem: we’re connecting with many types of on-prem systems (SQL-based, DLL-based, API-based), many built 20-40 years ago. We provide tremendous value to customers allowing them to interface with these systems in a secure, fast, reliable way, as if they’re modern, cloud-based products. We need to support real-time communication and webhooks when they don’t exist (e.g., using web-sockets)., • Scale & speed: we’re handling millions of API requests per day, and growing daily. For our products that we power with our own API (e.g. Analytics), we need to store and retrieve large amounts of data in an efficient way, building elegant caching layers to reduce latency. We ship code daily and iterate quickly based on actual feedback from paying customers (they share tons!)., • Operational excellence: we’re creating a reliable API layer on top of many old systems that don’t have APIs. It’s like building a skyscraper on quicksand, enforced by SLAs. We need to innovate in expanding the depth and breadth of our integrations while simultaneously increasing our development velocity. We need to be very creative in how to continually test our code and integrations, creating scalable testing frameworks that can catch edge cases and bugs across 1k+ endpoints., • Mix of back-end and front-end: we’re building front-end apps that dog-food our own APIs (e.g. Sync, Analytics). This helps us build world-class APIs because we suffer any pain present in our API. We’re building both the lego blocks and the higher-level lego models: we see what kinds of APIs our SaaS customers want, then also look at the kinds of API niceties we want for our own applications (like a caching layer, advanced filtering) and implement a combination of the two., • Variety: without knowing, you might assume adding a new integration is low-ambiguity and routine. But each integration we launch is special, completely different and posing unique challenges. This requires researching that system and its nuances in great depth before building on top of it. It’s part engineering, part archeology. Who you are: • 0 - 1 years of experience back- end/full- stack software engineer. Must be able to work independently without much guidance., • Familiarity with cloud infrastructure (e. g. AWS, GCP, Azure etc), • Recent experience at small (Seed/Series A/Series B/Series C) tech startup., • Undergrad CS degree from a top 30 undergrad school in US or Canada, • Self- motivated, high ownership, low ego; desire to work on a fast- paced, intense, fun team. Excited to be our next hire; passion for building a world- class engineering culture, • Pumped to work in- person in SF 5 days per week.

🚀 Senior Backend Engineer – AI Application Builder 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We’re looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You’ll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code — all while collaborating closely with the applied AI team. What You’ll Do • Design and build the core workflow engine — the orchestration layer connecting agents, data sources, and frontend views., • Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines., • Build and maintain integration layers for REST APIs, SQL sources, and third-party systems., • Collaborate with the applied AI engineering team to integrate automation and intelligence across systems., • Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience., • Strong experience with TypeScript, Node.js, and modern backend architectures., • Experience designing complex data models and managing asynchronous tasks/workflows., • Prior experience working in early-stage startups or high-growth environments., • Experience integrating multiple systems, including REST APIs and SQL sources., • Excited by building scalable systems and comfortable in a startup environment., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with Temporal or similar orchestration/workflow systems., • Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products., • Shape the architecture and direction of a high-impact backend system used across complex workflows., • Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Job Title: Oracle Essbase Developer Location: Pleasanton, CA / Dallas, TX / Coppell, TX / San Francisco, CA We are looking for a highly skilled Senior Essbase Developer to join our dynamic team. In this role, you will leverage your expertise in Essbase and multidimensional database design to develop and maintain robust analytical solutions that empower our business stakeholders with actionable insights. You will be responsible for architecting complex Essbase applications and collaborating with cross-functional teams to ensure seamless integration with enterprise data sources. Responsibilities 1. Design, develop, and implement high-performance Essbase applications to support complex analytical requirements, 2. Optimize existing Essbase applications for performance and scalability, utilizing advanced features and methodologies, 3. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications, 4. Conduct thorough testing and validation of Essbase calculations and data integrity to ensure high-quality deliverables, 5. Provide mentorship to junior developers, fostering a culture of knowledge sharing and continuous improvement, 6. Stay abreast of industry best practices and emerging technologies to enhance our analytical capabilities Qualifications 1. 6+ years of experience in Essbase development and administration., 2. Strong understanding of multidimensional database concepts and OLAP technologies., 3. Proven experience in building complex calculations and data models within Essbase., 4. Expertise in SQL and relational databases, with the ability to integrate with various data sources., 5. Experience with Oracle Hyperion Planning and other Oracle EPM tools., 6. Knowledge of data visualization tools such as Tableau or Power BI., 7. Familiarity with cloud-based data solutions and ETL processes., 8. Technical Skills and Relevant Technologies., 9. Advanced proficiency in Essbase, including calculation scripts and data load processes., 10. Strong SQL skills for querying and manipulating data., 11. Experience with data integration tools and ETL processes., 12. Knowledge of programming languages such as Python or Java is a plus., 13. Exceptional problem-solving skills with a detail-oriented mindset., 14. Strong communication skills, with the ability to articulate complex concepts to non-technical

🚀 Senior Full-Stack Engineer – High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS startup building an application builder that empowers business users to create custom applications where humans and AI collaborate seamlessly across enterprise workflows. You’ll play a pivotal role in shaping core architecture, product development, and first production deployments, working directly with the founder and early team. About the Role We’re seeking a Senior Full-Stack Engineer to lead product development and own major product surfaces across frontend, backend, and integration layers. This is a high-impact role where you’ll directly influence product direction and help build the foundation for Lumena’s platform. What You’ll Do • Design and build the core application builder — the orchestration layer connecting workflows, agents, and front-end views., • Develop and scale Lumena’s TypeScript-based backend and modern frontend stack (React + Tailwind)., • Build dynamic frontend interfaces for dashboards, forms, and human-AI workflows., • Collaborate with the applied engineering team to integrate automation and intelligence across systems., • Shape and maintain the integration layer connecting REST APIs, SQL sources, and third-party systems., • Define and enforce best practices for product engineering, architecture, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience in full-stack development., • Prior experience working in early-stage startups or high-growth environments., • Strong proficiency with TypeScript, Node.js, and modern frontend frameworks (React, Tailwind)., • Experience designing complex architectures, asynchronous workflows, and integrations., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with orchestration/workflow frameworks such as Temporal., • Exposure to cloud platforms (AWS/GCP/Azure), containerisation, Kubernetes, and CI/CD pipelines., • Experience with enterprise-grade concerns: secure hosting (VPCs), observability, identity & compliance. Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work directly with experienced founders and influence the product roadmap., • Shape the architecture and direction of a high-impact platform powering first production deployments., • Be part of a small, agile, highly motivated team at the forefront of AI and enterprise applications.

Job Title: Business Systems Analyst, AI Automation Location: On Site - San Francisco, California, United States Salary: $76,666 - $100,000 Skills: Business Analysis, SQL, Automation, Reporting Tools, Insurtech About the Technology Company / The Opportunity: Join a forward-thinking organization at the forefront of the technology industry, specializing in innovative solutions for a start-up. Our client offers a collaborative environment that values analytical minds eager to drive business transformation through automation and data insight. This on-site Business Analyst opportunity in San Francisco provides the chance to work on impactful projects with private equity-backed initiatives, enabling you to develop tools and reports that shape strategic decisions for dynamic, growth-focused teams. Responsibilities: • Analyze business processes to identify automation opportunities and improve operational efficiency., • Design, build, and deploy scalable reporting tools to deliver actionable insights., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Leverage SQL and advanced analytics platforms, including AI tools such as Claude and ChatGPT, to automate data workflows., • Support insurtech, insurance, and payroll project implementations with comprehensive business analysis., • Prepare and present detailed business reports to stakeholders and leadership., • Contribute to ongoing optimization of technology platforms supporting private equity initiatives. Must-Have Skills: • Proven experience as a Business Analyst in technology-driven environments., • Strong proficiency with SQL for data manipulation and reporting., • Hands-on expertise in automation tools and techniques for business process improvement., • Ability to build, maintain, and optimize reporting dashboards and tools., • Excellent communication skills and experience engaging with stakeholders. Nice-to-Have Skills: • Familiarity with insurtech or insurance industry operations., • Experience working with payroll systems and private equity-backed projects., • Knowledge or hands-on use of AI platforms such as Claude and ChatGPT for business automation., • Understanding of the challenges faced by enterprises in digital transformation., • Background in designing automated reporting frameworks for SaaS or fintech companies.

Salesforce Marketing Cloud Analyst Location: Foster City, CA (100% Onsite) Contract Duration: 6 Months (High likelihood of extension) Pay Rate: Up to $80/hour Overview We are seeking an experienced Salesforce Marketing Cloud Analyst to join a dynamic team in Foster City, CA. This onsite, 6-month contract role focuses on the integration between Marketing Cloud, Service Cloud, and Data Cloud—leveraging MuleSoft for seamless connectivity and data synchronization. The ideal candidate will bring a proven track record of Marketing Cloud expertise—including Journey Builder, Email Studio, and Automation Studio—combined with strong technical acumen across Salesforce ecosystems and integrations. Responsibilities • Serve as the primary SME for Salesforce Marketing Cloud, overseeing campaign execution, data integration, and marketing automation., • Partner with cross-functional teams to integrate Marketing Cloud with Service Cloud and Data Cloud via MuleSoft., • Analyze, map, and optimize data flows between marketing, customer service, and analytics platforms., • Build and manage Journeys, Automations, and Segmentation strategies for targeted customer engagement., • Develop and maintain Marketing Cloud Connect configurations, ensuring seamless synchronization of subscriber and lead data., • Collaborate with developers and architects to troubleshoot integration issues and enhance automation performance., • Track campaign metrics and build dashboards and reports to measure effectiveness and ROI., • Document all system configurations, integration mappings, and process workflows. Qualifications • 5+ years of Salesforce Marketing Cloud experience (Email Studio, Journey Builder, Automation Studio)., • Proven experience integrating Marketing Cloud with Service Cloud and Data Cloud via MuleSoft., • Strong understanding of API integrations, data extensions, and audience segmentation., • Hands-on experience with SQL queries, data management, and journey optimization., • Familiarity with Marketing Cloud Connect and cross-cloud data models., • Excellent communication skills; able to translate technical capabilities into marketing insights., • Salesforce Marketing Cloud Email Specialist or Marketing Cloud Administrator certification preferred., • Experience in a fast-paced enterprise environment with multiple Salesforce Clouds. Contract Details • Duration: 6 Months (potential extension), • Location: Foster City, CA — 100% Onsite, • Rate: Up to $80/hour (C2C or 1099)

Source One is a consulting services company and we’re currently looking for the following individual to work as a consultant to our client, an autonomous vehicle company. ** We are unable to work with third-party companies for this role. Title: Salesforce Marketing Cloud Analyst (Contract) Pay Rate: $86.75/hr (W-2) Job description: Our client, an on-demand, autonomous ride-hailing company, is seeking a highly skilled and hands-on Salesforce Marketing Cloud Functional Lead to drive the design, deployment, and enhancement of SFMC-based digital engagement strategies. This role bridges business, technical, and marketing teams to translate campaign goals into scalable, personalized customer experiences - leveraging SFMC features such as SMS, Mobile SDK, personalized content, dashboards, and promotional workflows. The ideal candidate combines technical mastery of SFMC with strategic insight—someone who can configure, code, and optimize while guiding overall platform direction. You’ll be the company’s SFMC expert and main liaison for any external system integrators driving large-scale enhancements. Responsibilities: Solution Design & Strategy: • Lead discovery sessions with stakeholders to gather business requirements, campaign goals, and technical needs, • Design and implement end-to-end engagement solutions using SFMC modules (Email, SMS, MobilePush, Mobile SDK, Journey Builder, Automation Studio), • Architect personalization strategies using dynamic content, data extensions, and behavioral triggers, • Translate campaign objectives into actionable user stories, technical documentation, and functional specifications, • Guide integration discussions with upstream systems and define integration contracts Implementation & Cross-Functional Collaboration: • Serve as the SFMC systems lead and primary liaison between marketing, product, and technical teams, • Configure and update system settings, HTML/CSS templates, SQL queries, and automation scripts directly within SFMC, • Lead end-to-end testing, UAT, and go-live coordination for campaigns and new features, • Provide hands-on troubleshooting and optimization support for existing journeys and workflows Feature Enablement & Continuous Improvement: • Implement new SFMC features and channels such as SMS, push notifications, and SDK integrations, • Build proofs of concept and pilot campaigns for new digital initiatives, • Continuously optimize campaign performance through analytics, A/B testing, and data-driven insights Monitoring, Analytics & Governance: • Oversee performance dashboards and campaign reporting for stakeholders, • Ensure compliance with privacy, security, and data governance standards (e.g., opt-in/opt-out workflows), • Maintain documentation and scalable governance processes for reusability and audit readiness Required: • 10+ years in CRM/Marketing technology with deep expertise in Salesforce Marketing Cloud (SFMC) as a solution designer and cross-functional lead, • 5+ years in Salesforce Marketing Cloud, • Proven experience designing cross-channel marketing solutions: email, SMS, mobile push, and personalized content, • Strong understanding of SFMC features: Journey Builder, Contact Builder, Mobile Studio, Personalization Builder, etc., • Familiarity with Salesforce ecosystem integrations (e.g., Service Cloud, CDP/Data Cloud using Mulesoft), • Excellent skills in requirements gathering, documentation, wireframing, and stakeholder communication, • Hands-on experience with campaign testing, QA, and deployment using SFMC tools, • Ability to interpret analytics and optimize journey design based on performance metrics, • Salesforce certifications in Marketing Cloud Consultant or Administrator preferred, • Bachelor’s or Master’s degree in Marketing, Business, Computer Science, or related field

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Moveworks Conversational AI Engineer Location: Bay Area, CA (Onsite preferred) — Remote considered Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform, • Configure intents, entities, and NLU models for high accuracy, • Build conversational flows to automate IT/HR/Finance use cases, • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira, • Develop backend services using Python or Node.js, • Monitor bot performance and implement continuous improvements, • Collaborate with IT and business stakeholders on requirements, • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1–3+ years of hands-on experience with Moveworks, • Strong expertise in NLP/NLU configuration, • Programming experience (Python/Node.js/TypeScript), • REST API development & integration experience, • Exposure to ServiceNow, Workday, Jira, or SAP, • Familiarity with SQL/NoSQL databases, • Strong problem-solving and communication skills, • Experience in Agile/Scrum environments

My client is building next-gen automation and orchestration platforms and needs an engineer who can design fault-tolerant, distributed systems at scale. If you’ve got hands-on experience with Functional Programming/Concurrency (Erlang, Elixir, Akka, Haskell) and strong distributed systems knowledge, and a track record with microservices, REST APIs, and SQL/RDBMS, this is a chance to work on real-time, high-availability systems that power automation and robotics. Bonus if you’ve worked with telecom-grade systems, real-time platforms, or CI/CD with Docker/Kubernetes. 💡 Looking for someone excited to solve complex problems, mentor others, and push the boundaries of what’s possible in large-scale automation.

Citizenship Requirement: U.S. Citizens Only ITTConnect is seeking a Data Engineer / Analytics to work for one of our clients, a major Technology Consulting firm with headquarters in Europe. They are experts in tailored technology consulting and services to banks, investment firms and other Financial vertical clients. Job location: San Francisco Bay area or NY City. Work Model: Ability to come into the office as requested Seniority: 10+ years of total experience About the role: The Data Engineer / Analytics Specialist will support analytics, product insights, and AI initiatives. You will build robust data pipelines, integrate data sources, and enhance the organization's analytical foundations. Responsibilities: • Build and operate Snowflake-based analytics environments., • Develop ETL/ELT pipelines (DBT, Airflow, etc.)., • Integrate APIs, external data sources, and streaming inputs., • Perform query optimization, basic data modeling, and analytics support., • Enable downstream GenAI and analytics use cases. Requirements: • 10+ years of overall technology experience, • 3+ years hands-on AWS experience required, • Strong SQL and Snowflake experience., • Hands-on pipeline engineering with DBT, Airflow, or similar., • Experience with API integrations and modern data architectures.

At Alpha and Omega Semiconductor (AOS), we design, develop and globally supply a broad range of power semiconductors, including a wide portfolio of Power MOSFET, IGBT, IPM, TVS, GaN/SiC, Power IC and Digital Power products. You will find our products in everyday applications including personal computers, graphic cards, gaming consoles, TVs, home appliances, smart phones, power tools, and more! At the center of our innovation is our people who bring passion, talent, and a collaborative atmosphere to our growing company. We offer an impressive benefit package and career development opportunities. If you are ready to take the next step in your career working with a team of passionate and talented people, then take a look at the job opportunity below to POWER your career! The ideal candidate will take ownership of production support, design and implement new functionalities, and troubleshoot ERP application issues to ensure reliable business operations. This role requires strong expertise in solution design, business process analysis, configuration, coding, testing, and system integration. Proficiency in PL/SQL, ADF, OAF, Oracle Workflows, and BI/XML Publisher is essential, along with excellent analytical and problem-solving skills. Primary Job Duties: • Maintain the Oracle ERP system and efficiently resolve application issues., • Collaborate with the ERP team manager to gather user requirements and translate them into detailed technical specifications., • Design, develop, and optimize complex Oracle PL/SQL packages, procedures, and database objects., • Create reports using Oracle Report Builder and BI/XML Publisher., • Customize Oracle Forms and web pages in alignment with business requirements., • Design and modify workflows using Oracle Workflow Builder., • Use JDeveloper to develop and enhance Java-based application pages., • Develop and maintain technical documentation for development processes, customizations, and extensions., • Create and execute test plans and scripts; perform unit testing and support system and user acceptance testing (UAT)., • Coordinate with other developers and IT teams to ensure seamless system integration and support. Qualifications and Experience: • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience)., • 5+ years of hands-on experience in Oracle ERP development and support., • Proven experience with at least one full lifecycle Oracle ERP implementation or upgrade., • Deep expertise in Oracle PL/SQL, Oracle Forms and Reports, XML Publisher, Oracle Workflow, and personalization of forms/pages., • Strong experience with Oracle OAF and ADF for Java-based ERP enhancements., • Experience designing backend Oracle modules that integrate with Java applications., • Familiarity with JDeveloper and Oracle ERP integration tools., • Mandarin Chinese speaking strongly preferred but not required Alpha and Omega Semiconductor, Inc is committed to diversity in our workplace. Qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, age, color, ethnicity, marital status, sex, religion, national origin, sexual orientation, gender, gender identity, disability, protected veteran status or any other category protected by federal, state or local law.

Member of Technical Staff - AI Data Engineer San Francisco (In-Office) $150K to $225K + Equity A high-growth, AI-native startup coming out of stealth is hiring AI Data Engineers to build the systems that power production-grade AI. The company has recently signed a Series A term sheet and is scaling rapidly. This role is central to unblocking current bottlenecks across data engineering, context modeling, and agent performance. Responsibilities: • Build distributed, reliable data pipelines using Airflow, Temporal, and n8n, • Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.), • Build API and function-based services in Python, • Develop custom automations (Playwright, Stagehand, Zapier), • Work with AI researchers to define and expose context as services, • Identify gaps in data quality and drive changes to upstream processes, • Ship fast, iterate, and own outcomes end-to-end Required Experience: • Strong background in data engineering, • Hands-on experience working with LLMs or LLM-powered applications, • Data modeling skills across SQL and vector databases, • Experience building distributed systems, • Experience with Airflow, Temporal, n8n, or similar workflow engines, • Python experience (API/services), • Startup mindset and bias toward rapid execution Nice To Have: • Experience with stream processing (Flink), • dbt or Clickhouse experience, • CDC pipelines, • Experience with context construction, RAG, or agent workflows, • Analytical tooling (Posthog) What You Can Expect: • High-intensity, in-office environment, • Fast decision-making and rapid shipping cycles, • Real ownership over architecture and outcomes, • Opportunity to work on AI systems operating at meaningful scale, • Competitive compensation package, • Meals provided plus full medical, dental, and vision benefits If this sounds like you, please apply now.

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA – Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities • Design, build, and maintain complex AI-driven software systems., • Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness., • Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions., • Implement best practices including version control, unit testing, code reviews, and agile development cycles., • Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications • Strong Python skills, particularly for machine learning and NLP projects, • Good SQL skills for querying and analyzing data, • Basic C# skills – ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed, • Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot), • Understanding of API and Microservices concepts, • Ability to work independently and thrive in a small, agile team Preferred Experience • Bachelor’s degree in Computer Science, Engineering, or a related field, • 5+ years of experience in software engineering, AI development, or ML engineering, • Cloud experience (Azure or AWS) is a plus, • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience with ETL processes and end-to-end ML pipeline development, • Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes • Flexible hybrid or onsite role, depending on candidate preference., • Contract-to-hire with simple agreement amendment upon conversion. If you’re passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.

The Mission As the Manager, Solutions & Delivery, being the critical bridge between our clients and our global delivery teams. Your role is to translate abstract research goals (e.g., "Make the model wittier") into concrete, executable engineering standards (SOPs), ensuring we deliver the "Golden Standard" of data every time. Key Responsibilities 1. Pre-Sales Solutioning & Technical Scoping • Requirement Translation: Partner with the Account manager during early client engagements to analyze complex technical requirements. Translate vague requests (e.g., "Improve safety boundaries") into specific data strategies (e.g., "Adversarial Red Teaming protocols")., • Pilot Architecture: Lead the design and execution of Proof of Concept (POC) pilots. Define the initial prompt sets, grading rubrics, and success metrics to win client confidence. 2. Delivery Architecture & SOP Engineering • Guideline Authoring: Write and maintain the "Bible" for each project—comprehensive Style Guides and Standard Operating Procedures (SOPs). You must define what "Good" looks like for complex tasks such as Chain-of-Thought (CoT) reasoning or Persona-based Creative Writing., • Workflow Integration: Collaborate with the R&D team to integrate new tools into the production workflow to improve efficiency. 3. Quality Assurance & Dual-Evaluation • Client Alignment: Act as the primary technical point of contact during delivery. Lead weekly quality calibration calls with clients to defend our data decisions and align on edge cases. 4. Resource Orchestration • Capacity Planning: Forecast talent needs based on the sales pipeline. Issue precise "Talent Profiles" to the Operations/Recruiting team (e.g., "We need 20 native French speakers with coding backgrounds by next week")., • Delivery Oversight: Monitor the overall health of multiple concurrent projects. Identify bottlenecks in throughput or quality and intervene with process adjustments before they impact the client. Requirements • Experience: 3–5+ years of experience in Technical Program Management, Solutions Engineering, or Delivery Management within the AI Data, Localization (LSP)., • Domain Knowledge: Familiarity with the LLM data lifecycle (SFT, RLHF, DPO). You understand the difference between a simple Q&A and a multi-turn reasoning task., • Data Literacy: Comfortable using Excel/Sheets for data analysis; basic Python skills or SQL knowledge to query dataset progress is a strong plus., • Communication: Fluency in English is non-negotiable. You must be confident presenting to PhD-level researchers and demanding product owners.

About the Role We are seeking a Senior Software Engineer with strong expertise in functional programming and distributed, high-availability systems. You will design and build core components that power large-scale automation, real-time decision systems, and mission-critical distributed architectures. This role is ideal for engineers who are passionate about concurrency models, fault tolerance, and building reliable systems at scale. Key Responsibilities • Design, develop, and optimize core modules for distributed, high-performance systems., • Build fault-tolerant architectures using concurrency-oriented programming models., • Lead development of key product features, contributing to system-level design decisions., • Improve system performance through refactoring, algorithmic optimization, and deep debugging., • Collaborate with cross-functional teams including product, architecture, and platform engineering., • Use simulations and testing frameworks to validate performance and reliability at scale., • Participate in code reviews and provide technical mentorship to team members. Required Qualifications • 3+ years of hands-on experience with at least one of the following languages:, • Erlang, • Elixir, • Gleam, • Pony, • Akka (Scala), • Haskell, • Strong experience building and operating distributed systems in production., • Solid understanding of the actor model, message passing, concurrency, and supervision patterns., • Experience with microservices architecture and REST-based APIs., • Proficiency with RDBMS/SQL in production environments., • Strong foundation in software design, system design patterns, and debugging complex systems., • Familiarity with Git or other version control tools., • Ability to work onsite 3–5 days per week in Redwood City, CA. Preferred Qualifications • Experience in real-time systems, robotics, warehouse automation, or telecom-grade platforms., • Exposure to CI/CD pipelines and container technologies (Docker, Kubernetes)., • Master’s degree in Computer Science or related engineering discipline., • Strong analytical mindset with the ability to solve complex, system-level challenges.

Overview: The client is seeking an experienced Epic Reporting Program Manager to oversee Quality Incentive Pool (QIP) and Financial Reporting initiatives. The ideal candidate will have deep knowledge of Epic Clarity, Cogito, or Caboodle, strong SQL/Snowflake expertise, and proven experience bridging technical and business teams across quality and finance domains. This role involves mentoring report writers, managing SDLC for data reporting, validating metric results, and ensuring compliance in state and federal reporting submissions. Key Responsibilities Quality Reporting (QIP Program): • Liaison between Clinical Quality and SQL reporting teams., • Manage end-to-end SDLC for Quality Metric development and validation., • Validate and troubleshoot QIP metric results., • Coordinate data flow for Quality Improvement initiatives., • Liaison between Epic BIDs and Finance teams., • Prioritize and manage regulatory reporting schedules and ad hoc financial requests., • Lead architecture of daily, monthly, and annual financial reporting., • Mentor report writers and analysts in Epic reporting tools., • Ensure adoption of Epic’s best practices., • Collaborate with cross-functional stakeholders on reporting strategy and validation. Required Skills & Certifications • 8+ years of healthcare data analytics/reporting experience., • 3+ years as a Program Manager or Technical Lead in a healthcare data environment., • Strong SQL and experience with MS SQL Server and Snowflake., • Expertise in Epic Clarity, Cogito, or Caboodle data models., • Familiar with QIP, HEDIS, CMS, or similar healthcare quality metrics., • Epic Cogito, • Epic Clarity Data Model, • Epic Hospital Billing (HB), • Epic Professional Billing (PB), • Epic Revenue Data Model, • Experience with Innovaccer, Cerner DSS, or eClinicalWorks (eCW)., • Familiarity with California QIP reporting., • ETL, Data Governance, or Data Validation experience.

Data modeling skills across SQL and vector databases. Build distributed, reliable data pipelines using Airflow, Temporal, and n8n. Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You’ll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy, • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications, • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes, • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations, • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We’re Looking For • 8+ years in data science or advanced analytics, • Advanced proficiency in Python and SQL, • Experience with healthcare datasets (claims, EMR/EHR,, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch), • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions, • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

A leading retail organization is seeking a Director of Data Analytics in San Bruno, CA.The role involves leading data analytics solutions to improve business decisions and automate reporting.Candidates should possess extensive experience in data analytics and be skilled in SQL, Excel, and visualizat

Customer Product plays a key role in shaping the future of our customer experience for customers of Walmart by recommending and championing products, processes, and solutions.

A leading tech company is seeking a Scaled Abuse Analyst for its Threat Investigations team in San Bruno, California. Required qualifications include a Bachelor's degree and experience in data analysis and project management, along with proficiency in SQL and Python.

Job DescriptionSenior Software Engineer Also open to mid-level, staff, principal, and team lead level engineers Location: Redwood City, CA | In the office 3-4 days per week with flexibility Employees: 650 | Team Size: 15| Reporting To: Director of Platform Engineering Industry: Supply chain, warehouse automation, AI, robotics, product development Responsibilities: • Design, development, and optimization of high-performance, distributed software systems, • Working closely with product managers, architects, and cross-functional engineering teams, • Building solutions that are critical to warehouse automation, robotics orchestration, and real-time decision-making systems, • Working with Erlang to design/implement core modules to build scalable, distributed systems, • Developing critical product features and solving complex system-level challenges, • Collaborating with architects to define low-level design, contributing to the technical roadmap, • Refactoring and optimizing algorithms and services for better performance and scalability, • Reviewing code, mentoring, and promoting best coding practices within the team, • Using simulations and testing to validate system behavior and performance Requirements:, • 3+ years of professional experience in software engineering, • Experience building and maintaining distributed, high-availability software systems, • Experience with one or more of the following languages: Erlang, Elixir, Gleam, Pony, Scala, Golang, Rust, Haskell, • Experience with microservice architecture and REST APIs, • Database experience with RDBMS/SQL in production environments, • Understanding of OOP, system design patterns, software design principles, • Experience with version control systems like Git Benefits:, • Unlimited PTO, health, dental, vision, and life insurance. Wellness reimbursement. 401K with company match. HAS, FSA plans. Short-term and long-term disability. Supplemental life insurance.Compensation:, • $150K - $200K (senior-level) + Annual Bonus, • Open to $200K - $250K for staff/principal + Annual Bonus