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intelligence engineer

Edurech Technoogy

<p>Job Title: AI / Machine Learning Engineer</p><p>At <b>Edurech Technology</b>, we are redefining education through intelligent, data-driven learning platforms. By leveraging artificial intelligence and machine learning, we build personalized, adaptive, and scalable solutions that enhance learning outcomes for students and educators worldwide. We are looking for a skilled <b>AI / Machine Learning Engineer</b> to help design, build, and deploy intelligent systems that power the future of education.</p><p>Job Summary</p><p>We are seeking a motivated <b>AI / Machine Learning Engineer</b> with <b>2&ndash;6 years of experience</b> to join our on-site team in Tempe. The ideal candidate has strong experience in machine learning, deep learning, and model deployment, along with a passion for solving real-world problems using AI. You will work closely with data scientists, software engineers, and product teams to develop and productionize AI-driven features across our platforms.</p><p>Key Responsibilities</p><p><b>Model Development</b></p><ul><li>Design, build, train, and optimize machine learning and deep learning models for educational use cases such as personalization, recommendation systems, content classification, and student performance prediction.</li></ul><p><b>Data Processing</b></p><ul><li>Clean, preprocess, and analyze structured and unstructured datasets.</li><li>Perform feature engineering to improve model performance.</li></ul><p><b>Deployment &amp; MLOps</b></p><ul><li>Deploy machine learning models into production environments.</li><li>Monitor model performance, data drift, and accuracy, and retrain models as needed.</li></ul><p><b>AI Research &amp; Innovation</b></p><ul><li>Stay current with the latest AI/ML research and technologies.</li><li>Experiment with new algorithms, architectures, and tools to improve system performance.</li></ul><p><b>Collaboration</b></p><ul><li>Work with cross-functional teams including product, backend, and data teams to integrate AI solutions into applications.</li><li>Translate business and product requirements into scalable AI solutions.</li></ul><p><b>Documentation &amp; Improvement</b></p><ul><li>Document model architectures, experiments, and deployment processes.</li><li>Continuously improve AI pipelines, workflows, and system reliability.</li></ul><p>Required Qualifications &amp; Skills</p><p><b>Experience</b></p><ul><li>2&ndash;6 years of professional experience in AI, machine learning, or related roles.</li></ul><p><b>Education</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field.</li></ul><p><b>Programming</b></p><ul><li>Strong proficiency in <b>Python</b>.</li><li>Experience with ML/DL frameworks such as <b>TensorFlow, PyTorch, Keras, or Scikit-learn</b>.</li></ul><p><b>Machine Learning Knowledge</b></p><ul><li>Solid understanding of supervised and unsupervised learning, deep learning, and evaluation metrics.</li><li>Experience with NLP, computer vision, or recommendation systems is a plus.</li></ul><p><b>Data &amp; Tools</b></p><ul><li>Experience working with SQL and large datasets.</li><li>Familiarity with data processing libraries such as Pandas, NumPy, and Spark.</li></ul><p><b>Communication</b></p><ul><li>Strong verbal and written communication skills with the ability to explain AI concepts to non-technical stakeholders.</li></ul><p>Preferred Qualifications</p><ul><li>Master&rsquo;s or Ph.D. in AI, Machine Learning, or a related field.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based ML services.</li><li>Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).</li><li>Experience with model versioning, CI/CD, and containerization (Docker, Kubernetes).</li><li>Prior experience in <b>EdTech, SaaS, or large-scale AI systems</b>.</li><li>Proven experience taking AI/ML models from research to production.</li></ul><p>Job Type</p><p><b>Full-time</b></p><p>Benefits</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Relocation assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location</p><p><b>In person</b></p><p>Job Type: Full-time</p><p>Pay: $101,358.61 - $122,066.28 per year</p><p>Work Location: In person</p>

AI/ML Engineer

Celonis

<div><div><p>We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?</p></div><p><b>
Role Description</b></p>
<ul>
<li>As an Applied AI Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis' Process Intelligence (PI) platform we feed operational context to AI so it understands our customers' business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.</li>
</ul>
<p><b>Key Responsibilities:</b></p>
<ul>
<li>AI Discovery &amp; Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product &amp; domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle</li>
<li>Hackathons &amp; Prototyping: Think out of the box, have a &bdquo;can-do&quot; attitude and don't shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems</li>
<li>Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform</li>
<li>Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.</li>
<li>Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value &amp; adoption thresholds are reached</li>
<li>Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li><b>5+ years of experience leading technical pre-sales</b><b>, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.</b></li>
<li>Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.</li>
<li>Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.</li>
<li>Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.</li>
<li>Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.</li>
<li>Bachelor's Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.</li>
</ul>
<p><b>Nice to have (big plus):</b></p>
<ul>
<li>Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.</li>
<li>Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.</li>
<li>Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)</li>
</ul>
<p>Visa sponsorship is not offered for this role.<br>
Learn More about Value Engineering at Celonis Here</p><div><p><b>
What Celonis Can Offer You:</b></p>
<ul>
<li><b>Pioneer Innovation:</b> Work with the leading, award-winning process mining technology, shaping the future of business.</li>
<li><b>Accelerate Your Growth:</b> Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.</li>
<li><b>Receive Exceptional Benefits:</b> Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here.</li>
<li><b>Prioritize Your Well-being:</b> Access to resources such as gym subsidies, counseling, and well-being programs.</li>
<li><b>Connect and Belong:</b> Find community and support through dedicated inclusion and belonging programs.</li>
<li><b>Make Meaningful Impact:</b> Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.</li>
<li><b>Collaborate Globally:</b> Join a dynamic, international team of talented individuals.</li>
<li><b>Empowered Environment:</b> Contribute your ideas in an open culture with autonomous teams.</li>
</ul>
<p><b>About Us:</b></p>
<p>
Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It's system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.</p>
<p>
Get familiar with the Celonis Process Intelligence Platform by watching this video.</p><br>
<p><b>
Celonis Inclusion Statement:</b></p>
<p>
At Celonis, we believe our people make us who we are and that &quot;The Best Team Wins&quot;. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.</p><br>
<p><b>
Your Privacy:</b></p>
<p>
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices</p>
<p>
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.</p>
<p>
Please be aware of common job offer scams, impersonators and frauds. Learn more here.</p></div></div>

Senior Applied AI Engineer (Value Engineering) - Public Sector

Genpact

<p></p><div><div><div><div><div><b><i>Ready to build the future with AI?</i></b></div></div><div><div><b><i>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s </i></b><b><i>AI Gigafactory</i></b><b><i>, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to </i></b><b><i>agentic AI</i></b><b><i>, our breakthrough solutions tackle companies&rsquo; most complex challenges.</i></b></div></div><div><div><b><i>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</i></b></div></div><div><div><b><i>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at </i></b><b><i>genpact.com </i></b><b><i>and on </i></b><b><i>LinkedIn</i></b><b><i>, </i></b><b><i>X</i></b><b><i>, </i></b><b><i>YouTube</i></b><b><i>, and </i></b><b><i>Facebook</i></b><b><i>.</i></b></div></div><div></div><div><div><b><br>
Inviting applications for the role of Senior Engineer - Big Data and Business Intelligence</b></div></div><div></div><div><div><b><br>
Skills &ndash; Headstrong Services LLC seeks Senior Engineer - Big Data and Business Intelligence (multiple positions) in New York NY to analyze petabytes of structured and unstructured data hosted on cloud, flat files, and a variety of databases (traditional, NoSQL, columnar and in-memory) and create technology road map for data integration. Prepare technical </b><b>design</b><b>outlining detailed instructions and logical steps required for coding. Develop, optimize, automate, and maintain software programs, algorithms, and prototypes to handle everyday big data problems. Collect, parse, transform, store, and visualize large sets of data to help end customers unlock the power of data insights and data driven decision-making. Research and recommend software and tools that are pivotal for building impactful data products. Supervise, coach, and mentor junior data engineers. Utilize experience with: Informatica Suite (PowerCenter, Intelligent Cloud Service, and Big Data Management); Amazon Cloud Services (S3, EC2, and EMR); Big Data tools (MapReduce, Spark, or similar); Relational databases (Oracle Exadata); Programming Languages (SQL, PL/SQL); NoSQL Databases (MongoDB or similar); Data </b><b>Visulazation</b><b>tools (Business Objects, Tableau or similar).</b></div></div><div></div><div><div><b><br>
Education &ndash; Position requires a </b><b>Master&rsquo;s</b><b>degree in an Engineering (all), Computer Science, Sciences, Mathematics, or a related field and 2 years of experience in the job offered, a related software engineering, programmer, or systems analyst position, or related occupation. As an alternative, a </b><b>Bachelor&rsquo;s</b><b>degree in an Engineering (all), Computer Science, Sciences, Mathematics, or a related field and 5 years of progressively responsible post-Bachelor's experience in the job offered, a related software engineering, programmer, or systems analyst position, or related occupation is acceptable. Foreign equivalent degrees are acceptable. Position also requires 2 years of experience with the following: Informatica suite (PowerCenter, Intelligent Cloud Services, Big Data Management); Amazon Cloud Services (S3, EC2, EMR); Big Data tools (MapReduce, Spark or similar); Relational Databases (Oracle Exadata); Programming Languages (SQL, PL/SQL); NoSQL Databases (MongoDB or similar); and Data Visualization Tools (Business Objects, Tableau or similar). Position headquartered in New York, NY with placement at project sites nationally within the United States with no additional travel required. $189,592 to $199,071 per year.</b></div></div><div></div><div><div><b><br>
Please send resume and cover letter to:</b></div></div><div></div><div><div><b><br>
Talent.Recruitment@genpact.com</b></div></div><div></div><div><div><b><br>
Indicate job code &ldquo;HSSEBDBINY0326&rdquo; when applying.</b></div></div><div></div><div><div><b><i><br>
Why join Genpact?</i></b></div></div><div><ul><div><div><b><i>
Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</i></b></div></div></ul></div></div><div><div><ul><div><div><b><i>
Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</i></b></div></div></ul></div><div><ul><div><div><b><i>
Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</i></b></div></div></ul></div><div><ul><div><div><b><i>
Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</i></b></div></div></ul></div><div><ul><div><div><b><i>
Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</i></b></div></div></ul></div><div><ul><div><div><b><i>
Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</i></b></div></div></ul></div><div><div><b><i>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.</i></b></div></div><div><div><b><i>
Let&rsquo;s build tomorrow together.</i></b></div></div><div></div><div><div><b><i><br>
The approximate annual base compensation range for this position is $189,592 to $199,071. The actual offer, reflecting the total compensation package plus benefits, will be determined by </i></b><b><i>a number of</i></b><b><i>factors which include but are not limited to the applicant&rsquo;s experience, knowledge, skills, and abilities; geographic location; and internal equity</i></b></div></div><div></div><div><div><b><i><br>
&ldquo;Los Angeles, California based candidates are not eligible for this role.</i></b></div></div><div></div><div><div><b><i><br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, </i></b><b><i>color</i></b><b><i>, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.</i></b><br>
<b><i>Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</i></b></div></div></div></div><p></p><p><br>
JobPrincipal Consultant</p><p>
Primary LocationUSA-New York</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingMar 12, 2026, 7:50:08 AM</p><p>
Unposting DateApr 11, 2026, 1:29:00 PM</p><p>
Master Skills ListConsulting</p><p>
Job CategoryFull Time</p></div>

Senior Engineer - Big Data and Business Intelligence

Droisys

<div>
 <p>
  Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
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 <p>
  <strong>
   Here are the job details
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  <strong>
   Job Title QA Engineer with AI Experience
  </strong>
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  <strong>
   Job Location NYC, NY [Onsite]
  </strong>
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  <strong>
   Duration 12 Months
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  <strong>
   Key Skills AI tools for testing workflows - Monkey Talk, Selendroid, Appium, Katalon, Python, VS Code,
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  <strong>
   Pay Rate $50-55/hr 1099/c2c / $45/hr W2
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   Qualifications
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  &bull; Practical experience with AI tools in testing workflows, skilled in writing general prompts. Strong knowledge of tools like VS Code and Python for creating AI-driven workflows or boosting prompt efficiency, plus ability to guide others in adopting AI within the team.
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  &bull; At least 7 years of relevant technical experience, with a bachelor&rsquo;s or master&rsquo;s degree in science&mdash;ideally Computer Science, Engineering, or similar fields.
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  &bull; Experience testing mobile platforms (iOS and Android), using various functional and automated testing tools.
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  &bull; Minimum 3 years of mobile app automation experience with tools such as Monkey Talk, Selendroid, Appium, Katalon, or similar.
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  &bull; Thorough knowledge of Functional, Integration, Regression, Exploratory, End-to-End, Compatibility, GUI, Web Services, and Accessibility testing methods.
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  &bull; Solid grasp of Swift, Kotlin, or other comparable functional programming languages.
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  &bull; Strong skills in programming and debugging.
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  &bull; Extensive experience with API testing using Postman, IntelliJ HTTP Client, or similar tools.
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  &bull; Skilled with debugging tools like Charles Proxy, Splunk, Sentry, Console, and others.
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  &bull; Excellent communication skills and proven teamwork abilities.
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  &bull; Experience overseeing the entire software deployment lifecycle through Agile methodologies.
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  &bull; Exceptional attention to detail and ability to thrive in a fast-moving work environment.
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  Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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  Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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</div>


QA Engineer (with Artificial Intelligence)

VectorShift

<div>
 VectorShift (YC S23) is building the AI enterprise workflow automation. We convert complex, manual processes into fully automated AI systems that scale across global teams.
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 <strong>
  About The Role
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 As an AI Engineer, you will work across our core AI infrastructure &mdash; from multi-agent systems and RAG pipelines to evaluation frameworks and production deployment. You'll ship AI-powered features that clients rely on daily, ensuring they're performant, reliable, and secure. This is a high-ownership role where you'll contribute across the full stack: backend APIs, data pipelines, frontend interfaces, and cloud infrastructure.
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 You'll report directly to the founders and collaborate closely with a tight-knit engineering team building product with real urgency and craft.
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  Key Responsibilities
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   Design, build, and deploy AI-powered features in production, including RAG systems, multi-agent orchestration, and evaluation frameworks
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   Own backend services and APIs end-to-end (Python / FastAPI / Django)
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   Build data pipelines for model training, evaluation, and continuous improvement
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   Collaborate with founders, product, and design to ship high-impact features
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   Ensure scalability, performance, and security across the platform
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   Contribute to engineering best practices, code quality, and technical decision-making
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  Required Qualifications
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   2+ years of professional software engineering experience
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   Hands-on experience building and deploying AI/ML applications in production environments
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   Solid understanding of relational databases and data modeling
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   Experience with cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines
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   Familiarity with RAG pipelines, LLM orchestration, or AI agent architectures
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   Experience with Git and collaborative development workflows
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   Familiarity with LLM evaluation techniques and tools for measuring reliability
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   Strong problem-solving instincts and a bias toward shipping
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  NICE TO HAVE
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   Experience working in or building for large enterprises
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   Prior startup experience or comfort operating in high-ambiguity environments
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  What We Offer
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   Direct founder access &mdash; report directly to the founding team and shape the product from the inside
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   Competitive compensation &mdash; salary + meaningful equity in a high-growth company
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   High-impact work &mdash; build AI infrastructure used daily by top enterprises
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   Speed and ownership &mdash; small team, fast cycles, real responsibility from day one
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  What To Expect
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 This role is not for everyone. The work is hard, the pace is fast, and priorities will shift as we learn from the market and our clients. You need to be comfortable with ambiguity and energized by building something that hasn't been built before.
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 We're assembling a small team of exceptionally talented, tenacious people who care deeply about the craft of building great software. If that's you &mdash; and you're at the point in your career where you want to make a defining contribution &mdash; we'd love to hear from you.
</div>


AI Engineer

Apple

<p>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.<br>
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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.<br>
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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.<br>
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<b>Description</b><br>
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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<br>
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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<br>
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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<br>
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Partner cross-functionally within Apple Ads to ensure proper data quality, availability and governance.<br>
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Build and enhance internal business intelligence, data visualization and reporting capabilities.<br>
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Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success.<br>
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Must be able to work in a rapidly changing and dynamic environment<br>
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<b>Preferred Qualifications</b><br>
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Advanced education degree in data science, statistics, economics, computer science or other quantitative field<br>
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Experience in Ad Tech or digital advertising<br>
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Strong track record of building data pipelines<br>
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Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting<br>
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Exceptional written and verbal communication skills<br>
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<b>Minimum Qualifications</b><br>
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4+ years of relevant industry experience using analytics to solve business problems<br>
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Fluency with SQL for coding and database querying<br>
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Experience with DBT<br>
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BS in data science, statistics, economics, computer science or other quantitative field<br>
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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 .<br>
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<b>Pay &amp; Benefits</b><br>
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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 $258,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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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.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Pipeline Engineer, Apple Ads Sales Ops

sent

<div><p><b>About Sent</b></p><p>
Sent is an infrastructure for sending A2P messages across SMS, WhatsApp, and RCS through a single unified API. Our intelligent routing model automates channel selection based on deliverability and cost, ensuring lower cost and global reach without any channel-specific integrations.</p><p>
We recently closed a $5.1M Seed round backed by Companyon Ventures, Bessemer Venture Partners, UIF, and CEAS Investments. We're hiring to build the best infrastructure to replace multi-channel messaging stacks.</p><p>
We're hiring a Data &amp; Analytics Engineer to build Sent's data infrastructure from the ground up. You'll design the pipelines, models, and dashboards that make messaging performance, revenue, and operational health legible across the company &mdash; and eventually, directly to our customers.</p><p><b>
About the Role</b></p><p>
Sent processes millions of messages across SMS, WhatsApp, and RCS. The data those messages generate tells a story about delivery performance, carrier behavior, customer growth, and product quality. Right now, much of that story is untold. You'll be the person who builds the systems to surface it.</p><p>
You'll work directly with leadership, engineering, and go-to-market to define the metrics that matter, instrument the platform to capture them, and build the reporting that drives decisions. This is a foundational hire - you'll have significant ownership and influence over how the company uses data.</p><p><b>
In this role, you will&hellip;</b></p><ul><li><p>
Design and build data pipelines that turn raw messaging events into structured, queryable data.</p></li><li><p>
Build internal dashboards and reporting tools that drive decisions across sales, ops, product, and engineering.</p></li><li><p>
Define and maintain core KPIs - delivery rates, latency, carrier performance, customer health, revenue metrics.</p></li><li><p>
Partner with engineering to improve logging, instrumentation, and data capture across the platform.</p></li><li><p>
Lay the groundwork for customer-facing analytics (delivery dashboards, message performance insights).</p></li><li><p>
Support financial and operational reporting as the company scales.</p></li></ul><p><b>
You'll be a great fit if you&hellip;</b></p><ul><li><p>
Have 3+ years in analytics engineering, data engineering, or a similar role.</p></li><li><p>
Are strong in SQL and experienced with modern data stack tools (dbt, Snowflake/BigQuery, Airflow, Fivetran, or similar).</p></li><li><p>
Have built dashboards in tools like Metabase, Looker, or Grafana.</p></li><li><p>
Are comfortable working with event-driven data and high-volume systems.</p></li><li><p>
Can write Python or a similar scripting language for data manipulation.</p></li><li><p>
Have a bias toward building things that are clean, well-documented, and maintainable.</p></li></ul><p><b>
Nice to have</b></p><ul><li><p>
Experience at an API-first company.</p></li><li><p>
Familiarity with PostHog or similar product analytics tools.</p></li><li><p>
Exposure to usage-based pricing models and how to measure unit economics.</p></li><li><p>
Experience building customer-facing data products or analytics features.</p></li></ul><p><b>
Our Commitment to You</b></p><ul><li><p>
Meaningful equity with high growth potential</p></li><li><p>
Top-tier medical, dental, vision fully covered</p></li><li><p>
401(k) with 100% match up to 4%</p></li><li><p>
Unlimited PTO</p></li><li><p>
Beautiful NYC workspace with daily meals and unlimited snacks</p></li><li><p>
New MacBook Pro + Apple Studio Display</p></li><li><p>
Fully comped Wellhub Gold or Equinox membership</p></li></ul><p><i>
Sent, Inc. is an Equal Opportunity Employer committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experiences.</i></p><p>
Compensation Range: $130K - $160K</p></div>

Data Analytics Engineer

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