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machine learning engineer

intelligence engineer

C2R Ventures

<div>
 
 Elite multi-strategy hedge fund manager that invests globally in a wide array of assets and strategies, is seeking an elite Agentic AI Research Engineer to play a key role in the ongoing development and enhancement of their investment process.
 
 
 
 
 
 Do not need financial experience to apply, but of course it is welcome. Candidates from AI research arms/divisions of notable bigtech companies and/or AI start-ups with elite VC backing are very welcome to apply.
 
 
 
 
 
 This Engineer will be embedded in investment teams to augment their investment process through designing and building multi-agent frameworks by developing deep understanding of each business and leveraging cutting-edge methods.
 
 
 
 
 
 This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
 </li>
 <li>
 Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
 </li>
 <li>
 Implement rigorous quantitative benchmarks for large scale agentic tasks
 </li>
 <li>
 Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
 </li>
 <li>
 Help create and optimize data mixes for model training that maximize agent performance or ease of use on agentic tasks
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 0&gt;1 builder who is comfortable with uncertainty, operates with high agency, and excels at rapid iteration and shipping
 </li>
 <li>
 Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
 </li>
 <li>
 Successfully demonstrated the ability of taking a product from conception to completion
 </li>
 <li>
 Understanding of LLM-as-judge, reward hacking, specification gaming robustness problems
 </li>
 <li>
 Have strong Python skills and can build robust infrastructure across the stack
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Rapid &amp; Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub-Same Day (SSD) Delivery business. The Delivery BI team partners closely with Delivery and operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning. 
 
The ideal candidate will draw upon advanced analytical and problem-solving skills, along with a passion for building solutions for automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders, and technical teams to enable data-driven decision-making. They must be a self-starter, show strong bias for action, be comfortable with ambiguity, and be able to think big and be creative to support a rapidly growing business. They will provide technical and business expertise in integrating data from various source systems and presenting it through an array of self-service applications. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. If you are excited about data, are results-oriented, and want to join a growing analytics team, this role is for you. 
 
Key job responsibilities 
The successful candidate is a seasoned data professional with a strong bias for action, data modeling, proficiency with data visualization tools, ETL, SQL, and scripting skills. In this role, you will help identify complex business problems, recognize opportunities, and implement solutions to improve operations and finance-facing systems, processes, and tools. The successful candidate will provide technical expertise in extracting, integrating, and analyzing critical data, clearly communicate any potential discrepancies and/or reporting downtime, including specific root causes and steps to resolution, and design and develop key performance metrics and indicators. The successful candidate will be a self-starter, quick learner, comfortable with ambiguity, results-oriented with strong attention to detail, insist on high standards, and adapt to a rapidly evolving environment. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, metrics, and dashboards to communicate these insights in real-time to business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions. 
 
A day in the life 
A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. 
<ul><li>Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points</li><li>Think creatively to identify opportunities to solve problems using technology-driven solutions</li><li>Design and implement optimal automation solutions to address stakeholder needs</li><li>Respond to ad hoc requests and provide support as needed</li><li>Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing</li></ul> 
About the team 
The Rapid and Rural Logistics team covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD). Our team needs to move fast and scale quickly with the growing businesses we support. We expect you to be able to identify one- vs two-way doors and make decisions on your own, requesting help when necessary. Strong bias for action is important. Technical skills must be balanced against people skills and business acumen so you can work with stakeholders to understand their needs and deliver the optimal BI solution.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field</li><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience writing complex SQL queries</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 109,500.00 - 185,000.00 USD annually 
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer, R2L Analytics

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
At Amazon Supply Chain, we power the world's fastest-growing e-commerce business and embrace the mission of being Earth&rsquo;s most customer-centric company. As our business continues to expand, the customer fulfillment operations become larger and more complex each year. 
 
The Network Sales and Operations Planning (S&amp;OP) team forecasts all inventory flows across the entire North America Fulfillment network. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). The network S&amp;OP forecast is the starting point of a weekly planning process spanning first, middle mile, last mile and defining the amount of resources (trucks, labor) that need to be secured to ensure we fulfill our customer orders at the highest speed, best quality, lowest cost and least carbon intensity as possible. We partner closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation, Labor Planning and Finance teams to reconcile bottom-up and top-down inputs to build analytical forecasts which are accurate and provide valuable insight. We also partner with Supply Chain Execution (SCE) teams as well as Science partners to define the optimal allocation under constraints of volumes across the 9 Regions of the US fulfillment network. 
 
We are now seeking a Business Intelligence Engineer to be part of a 2-3 person analytical group within the network S&amp;OP team. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will research forecasting techniques, deep dive existing data sources to build new models to improve forecasting accuracy. You will also develop data solutions and advanced visualization techniques to offer forecast analysis to senior stakeholders (up to SVP). You will collaborate with business, product management, and engineering teams to drive progress.
 
Key job responsibilities 
 
<ul><li>Develop new forecasting models</li><li>Build advanced visualization solutions to allow business and tech stakeholders to deep dive and understand the teams forecasts.</li><li>Collaborate across multiple teams to ensure alignment with business goals and objectives.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of processing large, multi-dimensional datasets from multiple sources experience</li><li>1+ years of performing statistical analysis experience</li><li>1+ years of developing automated reporting experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Bachelor's Degree</li><li>Experience analyzing and communicating results to senior leadership</li><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.</li><li>Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.</li><li>3+ years of SQL experience</li><li>Master's degree in statistics, data science, or an equivalent quantitative field</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 109,500.00 - 185,000.00 USD annually 
USA, TX, Houston - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer , North America Network Sales and Operations planning

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

Apple

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
We are looking for an experienced Data Pipeline Engineer to support our growing advertising business. In this role, you will work within our Apple Ads Sales Operations team to support and empower the sales analytics organization by leveraging your business knowledge and context to build data pipelines powering internal reporting and tools. 
 
Description 
 
A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You&rsquo;ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.&quot;,&quot;responsibilities&quot;:&quot;Use modern tools and technologies to build reliable and performant pipelines for reporting and analytics 
 
Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - driving the generation of insights from complex data in support of our global sales organization 
 
Collaborate closely with business stakeholders to understand their priorities, support the rollout of sales strategies, and build foundational data sets that directly support strategic decision-making 
 
Partner cross-functionally within Apple Ads to ensure proper data quality, availability and governance. 
 
Build and enhance internal business intelligence, data visualization and reporting capabilities. 
 
Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success. 
 
Must be able to work in a rapidly changing and dynamic environment 
 
Preferred Qualifications 
 
Advanced education degree in data science, statistics, economics, computer science or other quantitative field 
 
Experience in Ad Tech or digital advertising 
 
Strong track record of building data pipelines 
 
Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting 
 
Exceptional written and verbal communication skills 
 
Minimum Qualifications 
 
4+ years of relevant industry experience using analytics to solve business problems 
 
Fluency with SQL for coding and database querying 
 
Experience with DBT 
 
BS in data science, statistics, economics, computer science or other quantitative field 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $213,700, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Pipeline Engineer, Apple Ads Sales Ops

Mayfield

<div>
 Cube
 
 
 Software Engineering, Operations, Data Science
 
 
 New York, NY, USA
 
 
 USD 120k-140k / year + Equity
 
 
 Posted on Apr 17, 2026
 
 
 Apply now
 
 
 Location
 
 
 New York, New York
 
 
 Employment Type
 
 
 Full time
 
 
 Location Type
 
 
 Hybrid
 
 
 Department
 
 
 Finance &amp; Operations
 
 
 
 Compensation
 
 
 
 <ul>
 <li>
 $120K &ndash; $140K
 </li>
 <li>
 Offers Equity
 
 
 </li>
 </ul>
 
 Cube is the financial intelligence platform built for the AI-era.
 
 
 
 The world has evolved, but FP&amp;A is still trapped in manual reconciliation cycles. While most platforms try to replace the spreadsheets finance teams love, Cube is different: we are the intelligent finance layer that unifies fragmented data into a centralized command center. By automating data management, we empower the Office of the CFO to stop moving numbers and start driving the strategic analysis that turns data into growth.
 
 
 We don&rsquo;t compete with AI; we make it trustworthy. In a world where AI is often only 80% right, Cube provides the 100% truth and governance finance teams need to turn data into growth. Our mission is clean data, everywhere, allowing the modern Office of the CFO to move beyond manual data management and lead with strategic certainty.
 
 
 Cube has raised &gt;$65M and is backed by top-tier investors such as Battery Ventures and Mayfield. We&rsquo;re also proud to be recognized by Forbes as one of the Best Places to Work in 2026. Together, we&rsquo;re building a culture that challenges and celebrates everyone with a path to growth. We&rsquo;re guided by our company values: act with urgency, keep it simple, build with joy, obsess over the details, own the outcome, raise the bar, champion our customers, and win together. As we enter our next phase of growth, we believe having the right Cubers on our team will be the reason we win.
 
 
 
 About The Role
 
 
 
 We are hiring an AI Operations Engineer to build the technical systems that keep our organization aligned. In this role, you will ensure that every department is operating from the same source of truth by deploying AI tools that bake our brand guidelines, messaging, and sales plays directly into daily workflows. You will serve as the bridge between high-level company strategy and the automated systems that make that strategy easy to execute at scale. This is a highly cross-functional role focused on enablement, operational efficiency, and building AI infrastructure that helps teams move faster with consistency and confidence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain AI assistants or guardrails that review internal and external communications for alignment with approved messaging and brand standards.
 </li>
 <li>
 Develop and manage RAG systems so Sales, Support, and internal teams receive answers based only on current, approved documentation.
 </li>
 <li>
 Create automated workflows that transform product updates into tailored talk tracks, Slack updates, enablement content, and email templates for different departments.
 </li>
 <li>
 Build internal AI agents that coach employees on processes such as deal desk approvals, messaging guidance, and internal operations.
 </li>
 <li>
 Embed AI functionality into tools such as Slack, Salesforce, and Guru so support is available directly in the flow of work.
 </li>
 <li>
 Conduct regular audits of AI outputs to prevent messaging drift and ensure systems are using the most recent business strategy and approved content.
 </li>
 <li>
 Maintain a centralized, version-controlled library of tested prompts and workflows that drive accurate, repeatable outputs.
 </li>
 <li>
 Track usage analytics and adoption trends to identify enablement gaps, workflow inefficiencies, or areas where messaging is not sticking.
 </li>
 <li>
 Ensure all internal data used in AI systems remains secure and aligned with company privacy and compliance standards.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience connecting business systems through APIs.
 </li>
 <li>
 Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, or similar tools.
 </li>
 <li>
 Experience working with vector databases such as Pinecone, Weaviate, or related technologies.
 </li>
 <li>
 Experience with automation platforms such as n8n, Zapier, or Make to connect AI workflows across business systems.
 </li>
 <li>
 Ability to programmatically enforce structured outputs such as JSON, templates, or workflow logic to ensure consistency.
 </li>
 <li>
 Strong systems thinking with the ability to build scalable solutions that solve problems across teams.
 </li>
 <li>
 Excellent communication skills and the ability to work cross-functionally with GTM, Operations, Product, and Leadership teams.
 
 
 </li>
 </ul>
 
 Bonus Skills
 
 
 
 <ul>
 <li>
 Experience supporting go-to-market teams such as Sales, Customer Success, or Marketing.
 </li>
 <li>
 Experience integrating AI tools into CRM or enablement platforms such as Salesforce, HubSpot, or Guru.
 </li>
 <li>
 Familiarity with prompt version control, model evaluation, and internal AI governance best practices.
 </li>
 <li>
 Experience in a high-growth startup environment where speed, ownership, and adaptability are essential.
 
 
 </li>
 </ul>
 
 The annual base salary for this role ranges from $120,000 to $140,000 USD.
 
 
 
 The expectations above are meant to represent the ideal candidate, but if you don&rsquo;t meet all of them and think you&rsquo;d be a great fit for this role, please apply. This position is open to candidates who are authorized to work in the posted location. Immigration sponsorship is not available at this time.
 
 
 
 Full-Time Employee Benefits
 
 
 
 <ul>
 <li>
 We provide 100% covered employee medical, dental, and vision insurance options, including FSA/HSA options plus free memberships to OneMedical, Teladoc, and Talkspace.
 </li>
 <li>
 Our flexible paid vacation and sick/mental health time guidelines help you get the time and space you need.
 </li>
 <li>
 We offer stock options to all full-time employees of Cube, as we want you to be connected to the success of the company.
 </li>
 <li>
 We offer 12 weeks of 100% paid parental leave for the birthing parent.
 </li>
 <li>
 We offer each Cuber a quarterly learning budget to spend on books, classes, or events that support your development.
 </li>
 <li>
 You&rsquo;ll be joining an experienced team of tech startup leaders who are eager to work with you and provide support and mentorship!
 </li>
 <li>
 You&rsquo;ll work for a company that our customers are truly excited about!
 
 
 </li>
 </ul>
 Compensation Range: $120K - $140K
 
 
 Apply now
 
 
 See more open positions at Cube
 
 
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AI Operations Engineer

Explore 561+ Intelligence engineer in New York this May. Find roles across top companies and apply now to boost your career.