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data scientist product analytics

Data Scientist, Product Analytics

Instacart

<div><div>We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table.

Instacart is a Flex First team
There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work&mdash;whether it's from home, an office, or your favorite coffee shop&mdash;while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.</div>
Overview

The Core Delivery team at Instacart is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize delivery experience. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.

About the Job
<ul>
<li>Own analytical frameworks that guide the product roadmap.</li>
<li>Design rigorous experiments and interpret results to draw detailed and actionable conclusions.</li>
<li>Develop statistical models to extract trends, measure results, and predict future performance of our products.</li>
<li>Build simulations to project the impact of various product and policy interventions.</li>
<li>Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.</li>
<li>Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.</li>
<li>Present findings in a compelling way to influence Instacart's leadership.</li>
</ul>
About You

Minimum Qualifications
<ul>
<li>7+ years of experience working in a data science or ML role at a product company.</li>
<li>Ability to run rigorous experiments and generate scientifically sound recommendations.</li>
<li>Strong SQL skills for data extraction and transformation from relational databases.</li>
<li>Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent.</li>
<li>Ability to translate business needs into analytical frameworks.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with geospatial analysis techniques.</li>
<li>MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.</li></ul> 


#LI-remote</div>

Senior Data Scientist II - Core Delivery

Probably Genetic

<div><h2 class="jobSectionHeader">About Probably Genetic</h2>
Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible.
We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it.
Probably Genetic has raised multiple rounds of funding from Silicon Valley&rsquo;s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity.<h1 class="jobSectionHeader">
About the role</h1>
We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions.<h1 class="jobSectionHeader">
What you will do</h1><ul><li>
Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models &mdash; from feature engineering through production deployment &ndash; that power program eligibility decisions and clinical decisions for patients</li><li>
Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance</li><li>
Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle</li><li>
Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion</li><li>
Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring</li><li>
Conduct ad hoc strategic analyses that inform product prioritization, causality assessment, and generate customer-facing program insights</li><li>
Establish MLOps infrastructure: model monitoring, drift detection, API observability, and lightweight but durable operational processes</li><li>
Have the freedom to conduct blue sky research initiatives aimed at creating value from our data</li><li>
Work with Data Engineering to build a robust, scalable data foundation that supports all of the above</li></ul><h1 class="jobSectionHeader">
Who you are</h1>
We are looking for a few specific things that will help you succeed in this role:<ul><li>
7+ years of experience in data science, machine learning engineering, or a closely related field</li><li>
Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL</li><li>
Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment</li><li>
Experience with NLP techniques and applying language models to real-world problems</li><li>
Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI)</li><li>
A track record of operating with high ownership in lean, fast-moving environments where you have had to build structure as much as execute within it</li><li>
Strong analytical communication skills &mdash; you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike</li></ul>
Some things that are not required, but you will learn on the job:<ul><li>
Experience with Databricks or similar lakehouse/ML platform environments</li><li>
Familiarity with synthetic data generation techniques</li><li>
Domain knowledge in healthcare, rare disease, genomics, or clinical research</li><li>
Experience with MLOps tooling and building observability infrastructure from scratch</li><li>
Exposure to biopharma or insurance analytics use cases</li></ul>
As with all new hires at Probably Genetic, you will also need to be:<ul><li>
A good person. We work with some of the most marginalized populations on the planet and empathy is key</li><li>
Patient-focused and motivated to have a lasting, positive impact on humanity</li><li>
Comfortable in a fast-paced, often ambiguous environment with rapid change</li><li>
Action-oriented and excited to build a company from the ground up</li></ul> 
The salary range for this role is $180,000-$230,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs.<h2 class="jobSectionHeader">
What we offer at Probably Genetic:</h2><ul><li>
An engaging and supportive team all on a mission to improve lives</li><li>
Fair and equitable compensation with competitive early-stage equity grants</li><li>
Generous Flexible Time off policy, that we actually use</li><li>
Parental Leave Benefits (12 weeks for both birthing and non-birthing)</li><li>
Hybrid, flexible work with high-trust and autonomy</li><li>
A bright, inviting, pet-friendly office in Downtown SF near transit</li><li>
A &ldquo;work from anywhere&rdquo; policy, up to 4 weeks a year</li><li>
Regular team retreats in exciting destinations</li><li>
Health Benefits including medical, dental, vision, therapy, FSA, and 401k</li><li>
And so much more!</li></ul>
Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences. We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.
Compensation Range: $180K - $230K</div>

Senior Data Scientist

Horizontal Talent

<div>
 Join a dynamic team where your analytical skills will drive innovation in transportation technology. This role offers the opportunity to work on exciting projects that enhance urban mobility and connect communities.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Enhance map data quality and coverage through rigorous analysis and reporting.
 </li>
 <li>
 Create and maintain dashboards to track key performance indicators and identify data quality issues.
 </li>
 <li>
 Collaborate with cross-functional teams to translate analytical insights into actionable product improvements.
 </li>
 <li>
 Lead deep-dive reviews and contribute to program status updates and KPI planning.
 </li>
 <li>
 Manage the lifecycle of analytical models and support product analytics across various experiences.
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, science, analytics, GIS, or equivalent experience.
 </li>
 <li>
 Proficiency in SQL and data visualization tools to derive actionable insights.
 </li>
 <li>
 Strong communication skills for engaging with internal stakeholders.
 </li>
 <li>
 Advanced analytical and problem-solving abilities.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Familiarity with AI data tools such as Mode or Hex.
 </li>
 <li>
 Experience in cross-functional collaboration with product management and engineering teams.
 
 
 
 </li>
 </ul>
 We are committed to fostering a diverse and inclusive workplace where all individuals are valued and empowered to succeed. Diversity, equity, and inclusion are integral to our company culture and mission.
 
 
 By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
 
 
 Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $49 per hour based on qualifications and experience.
</div>

Data Analyst, Mapping

Aircall

<div>
 Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
 
 Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
 
 Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
 
 
 At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
 
 
 How we work at Aircall:
 
 We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.
 
 
 
 About The Role
 
 
 
 The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
 
 In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
 </li>
 <li>
 Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
 </li>
 <li>
 Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
 </li>
 <li>
 Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.
 </li>
 <li>
 Participate in code reviews to ensure code quality and share knowledge.
 </li>
 <li>
 Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
 </li>
 <li>
 Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
 </li>
 <li>
 Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration
 
 
 </li>
 </ul>
 
 A little more about you:
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
 </li>
 <li>
 Proficient in SQL and Python, with the ability to translate complexity into efficient code.
 </li>
 <li>
 Experience with data workflow development and management tools (dbt, Airflow).
 </li>
 <li>
 Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
 </li>
 <li>
 Experience with data tooling, data governance, business intelligence and data privacy is a plus.
 
 
 </li>
 </ul>
 $130,000 - $200,000 a year
 
 
 This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
 
 
 Why join us?
 
 
 🚀 Key moment to join Aircall in terms of growth and opportunities
 
 
 💆&zwj;&female;️ Our people matter, work-life balance is important at Aircall
 
 
 📚 Fast-learning environment, entrepreneurial and strong team spirit
 
 
 🌍 45+ Nationalities: cosmopolite &amp; multi-cultural mindset
 
 
 💵 Competitive salary package &amp; benefits
 
 
 🏨 Medical, dental, and vision insurance is 100% covered
 
 
 📈 401k plan with company matching!
 
 
 ✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!
 
 
 ⭐️ Wellness, commuter, and childcare reimbursements
 
 
 💚 Generous parental leave policy
 
 
 DE&amp;I Statement:
 
 
 At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.
 
 
 We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
 
 
 We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
 
 Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Engineer/Senior Data Engineer, Data and Science

OpenAI

About the Team
 
At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems.
 
The Analytics & Automation team helps USRO operate more effectively and scale safely. The team builds automation, analytics, reporting, monitoring, and quality systems that improve how work is prioritized, reviewed, measured, and managed across the organization’s portfolio.
 
Our work includes workflow automation, operational health dashboards, queue and case analysis, quality measurement, classifier and evaluation feedback loops, alerting, reporting infrastructure, and decision-support tools. We partner closely with operational teams as well as Product, Engineering, Product Policy, Safety, and Support to identify high-leverage opportunities and build practical systems that improve outcomes.
 
About the Role
 
We are seeking an Analytics & Automation Lead to manage and grow a senior technical operations team responsible for building the analytics, automation, and quality systems that help User Safety and Risk Operations scale.
 
This is a hands-on leadership role for a mission-oriented systems thinker: someone who can translate messy operational problems into practical, measurable solutions; guide senior technical and analytical ICs (Independent Contributors); prioritize across competing needs;, and build durable infrastructure and reusable capabilities that improve the performance of multiple operational teams.
 
You will lead work across workflow automation, operational health analytics, quality and evaluation systems, emerging-risk signal infrastructure, dashboards and reporting, and data flywheel feedback
 
loops.You
 
will help determine where automation can meaningfully improve speed, consistency, and scalability, and where human judgment and strong quality controls must remain central.
 
The right person is highly technical for an operations role, deeply comfortable with ambiguity, and fluent in using AI tools to improve real workflows. Success in this role means building systems that make safety operations faster, more reliable, more measurable, and more scalable without losing the human judgment required for sensitive user-safety decisions.
 
Location / work model: San Francisco, CA; hybrid, 3 days/week in-office.
 
Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, judgment, and resilience are essential.
 
In This Role, You Will
 
Lead and develop a senior team of technical and analytical ICs responsible for automation, analytics, reporting, and other systems.
 
Set the strategy and operating cadence for a horizontal team supporting safety and risk operations across multiple workflows and domains.
 
Prioritize a portfolio of high-impact opportunities, making clear tradeoffs based on user impact, risk reduction, operational need, technical feasibility, and scalability.
 
Build systems that improve operational health and visibility, including data infrastructure, dashboards, SLA and backlog monitoring, and quality measurement.
 
Design and implement workflow improvements such as automated triage, routing, prioritization, signal enrichment, case clustering, review assistance, and reporting automation.
 
Build and improve the systems and strategies for emerging risk identification, analysis, and signal sharing
 
Identify where AI, LLMs, classifiers, or lightweight tooling can materially improve operational work, while designing appropriate evaluation, monitoring, human review, and fallback paths.
 
Establish measurement and quality frameworks for operational systems, including golden sets, sampling strategies, reviewer calibration, false-positive and false-negative monitoring, and system-health metrics.
 
Partner with operational leaders to understand their workflows, identify root causes and bottlenecks, and turn high-value needs into scalable systems rather than one-off analyses.
 
Collaborate with Product, Engineering, Policy, Legal, Safety, Support, and other partner teams to translate user and operational insights into better tools, processes, and outcomes.
 
Raise the bar for technical judgment, written communication, prioritization, and execution across a senior, independent team.
 
You Might Thrive in This Role If You
 
Have 12+ years of relevant experience across trust and safety, risk operations, data, analytics, automation, product operations, integrity, fraud, or similarly high-stakes operational environments.
 
Have 4+ years of people management experience, including experience leading senior technical, analytical, or highly independent ICs.
 
Are highly technical for an operations leader: comfortable with SQL, dashboards, data quality, classifier/eval concepts, automation design, and practical AI tooling.
 
Experience working with LLMs, agentic workflows, Codex-like tools, or internal AI platforms to automate operational work.
 
Have built systems that materially improved how operational work gets done, such as workflow automation, triage or routing systems, detection workflows, operational reporting, or classifier feedback loops.
 
Can distinguish high-value automation from risky automation, and know how to design human-in-the-loop review, monitoring, quality controls, and fallback mechanisms for sensitive workflows.
 
Bring strong operational judgment and understand the realities of running complex workflows at scale, including queues, reviewer processes, escalations, capacity constraints, and quality assurance.
 
Communicate clearly and concisely with technical, operational, and executive audiences, especially when tradeoffs are complex or evidence is incomplete.
 
Operate with high agency in ambiguous environments and can create structure, momentum, and measurable progress without overbuilding.
 
Are mission-oriented, user-safety minded, and motivated by building systems that make frontier AI products safer and more trustworthy.
 
Nice to Have
 
Experience in trust and safety, adversarial abuse, integrity, risk operations, or user safety at a scaled technology company.
 
Experience with classifier development, eval design, golden sets, labeling guidance, reviewer calibration, or model-quality feedback loops.
 
Experience leading analytics or automation work that supports multiple partner teams or business lines.
 
Experience building quality programs, audit processes, or decision records for sensitive or regulated workflows.
 
Familiarity with vendor operations, BPO training, QA, or scaled review programs.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$302K – $335K + Offers Equity

Analytics & Automation Lead, User Safety & Risk Operations

Sia Experience

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
About Sia Experience-Marketing Advisory
Sia Experience is the end-to-end marketing and customer experience arm of Sia. Agile and collaborative, our Marketing Advisory Business Line is recognized for delivering high-impact, growth-focused solutions by blending marketing, CX, creative, AI, and deep industry expertise.
As strategic partners, The Marketing Advisory team empowers clients across technology, luxury, consumer goods, finance, energy, and more to scale operational excellence and drive brand-led growth through AI- and data-driven strategies. Our teams lead full-funnel marketing transformations&mdash;from strategy and go-to-market execution to experience design, performance measurement, and sustainable impact.
It&rsquo;s an exciting time to join us. SiaX has long been the agency behind some of the world&rsquo;s biggest brands&mdash;now we&rsquo;re expanding, becoming one of the most recognizable names for companies that demand bold, business-driving creative. We&rsquo;re shaping SiaX into the go-to agency of the future. This is your chance to be part of that growth, working alongside top-tier creatives, consultants and agency leaders to continuously evolve what a modern, full-service agency can be. Opportunities like this don&rsquo;t come around often&mdash;if you want in on the next level, this is it. 
Job Description 
Remote: (9-6pm PST hours)
Rate: $80-$90 an hour
Contract Length: 06/2026-12/2026
We are seeking an experienced Technical Project Manager with a strong marketing analytics foundation to lead execution of large-scale, high-impact marketing and projects. This role operates at the intersection of Marketing, Engineering, and Data Science, owning end-to-end campaign and project execution with a strong emphasis on operational rigor, technical excellence, and data-driven decision making.
Supporting multiple cross-functional development teams operating under a scrum methodology, this role is responsible for driving campaign launches, delivering centralized marketing performance reporting, maintaining roadmaps, and ensuring projects are delivered on time and aligned to business outcomes. The ideal candidate brings a marketing analytics background that enables them to not only manage projects but also meaningfully interpret performance data, partner with Decision Scientists, and translate insights into action, while communicating flawlessly with stakeholders at every level.
Key Responsibilities
Project Management<ul><li>
Own end-to-end execution of technical marketing launches and road maps from intake and planning through launch, QA, and performance analysis.</li><li>
Manage day-to-day project planning activities through team standups, project management tooling, and regular project meetings &mdash; proactively eliminating and mitigating risks and blockers.</li><li>
Translate campaign and product objectives into detailed technical implementation plans, aligning stakeholders on requirements, dependencies, and execution approach.</li><li>
Build and maintain detailed project plans and roadmaps outlining scope, timelines, and dependencies to ensure high-quality, on-time delivery.</li><li>
Initiate, schedule, and conduct project meetings with engineers, decision scientists, business analysts, and product managers; capture notes and follow up on action items.</li><li>
Collaborate with teams to create and drive roadmap and tactical activities against key project objectives, ensuring projects are added, prioritized, and removed as appropriate.</li><li>
Maintain visual executive-level roadmaps reviewed on at least a monthly cadence.</li></ul>
Campaign Setup &amp; Technical Execution<ul><li>
Own campaigns end-to-end, including hands-on configuration within internal tools (targeting, pacing, surface selection, asset uploads, etc.).</li><li>
Support end-to-end delivery of marketing workflow application development initiatives, partnering with Software Engineering, Product Management, and Data Engineering teams to define requirements, track progress, and ensure technical builds align to marketing operational needs.</li><li>
Drive campaigns through approval workflows and coordinate launches with Engineering and Marketing Data Science teams.</li><li>
Ensure accurate implementation and validation of campaign tracking, telemetry, and measurement systems prior to launch.</li><li>
Document campaign configurations, technical specs, and testing plans.</li><li>
Identify and drive tooling enhancements and process improvements to increase speed to market and reduce operational friction.</li></ul>
Sprint Management &amp; Agile Delivery<ul><li>
Create and update sprints with backlog; work with the team to groom the backlog and hold sprint reviews.</li><li>
Facilitate retrospectives and ensure agendas are submitted for all team meetings.</li><li>
Ensure all project tracking documents are created, kept up to date, and that work status is updated weekly with tasks broken out and dependencies tracked.</li><li>
Partner closely with Marketing, Creative, Engineering, Product, and Data Science teams to drive execution alignment and launch readiness.</li></ul>
Quality Assurance &amp; Optimization<ul><li>
Conduct QA to validate campaign setup, targeting accuracy, and delivery performance.</li><li>
Monitor live campaigns and partner with data science teams to deploy optimization strategies.</li><li>
Own bug intake and triage during testing and launch, working closely with Engineering to drive timely resolution.</li></ul>
Reporting &amp; Continuous Improvement<ul><li>
Leverage campaign adoption metrics, survey data, and performance analysis to evaluate project impact; apply marketing analytics knowledge to identify meaningful patterns and opportunities.</li><li>
Partner with Decision Scientists and Data Engineers to deliver standard, centralized marketing performance reporting across brand sentiment and performance marketing projects.</li><li>
Develop performance summaries and internal updates that highlight key insights, outcomes, and actionable recommendations &mdash; translating data into clear narratives for both technical and non-technical audiences.</li><li>
Drive continuous improvement by connecting analytics findings to campaign strategy, targeting, and execution adjustments.</li><li>
Ensure the team is working on the correct priorities; support resolution and mitigation of roadblocks and delivery risks.</li><li>
Ensure expected timelines are maintained and transparently communicated across stakeholders.</li><li>
Contribute to best practices, documentation, and process improvements across campaign and project operations.</li></ul>
How Success is Measured<ul><li>
Project tracking tools are kept current: all active projects created, statuses updated weekly, tasks broken out, and dependencies tracked and managed.</li><li>
Roadmaps are maintained at least monthly, with accurate prioritization and executive-ready views.</li><li>
Weekly team meetings are well-run: agendas submitted, notes captured, action items logged and followed up.</li><li>
Marketing performance reporting is delivered in a standardized, centralized, and timely manner &mdash; with insights that are actionable for both marketing teams and Decision Scientists.</li><li>
Projects are delivered on time with risks surfaced and resolved proactively.</li><li>
Cross-functional stakeholders are aligned and consistently informed throughout the project lifecycle.</li></ul> 
Qualifications<ul><li> 
8+ years in technical project management, marketing project management, or marketing operations; background in marketing analytics strongly preferred.</li><li>
Familiarity with marketing measurement concepts &mdash; including campaign attribution, A/B testing interpretation, brand sentiment analysis, and conversion analytics &mdash; with the ability to fluently read and QA performance data, partner effectively with data practitioners, and translate findings into campaign and project decisions; experience with SQL or BI tools (e.g., Tableau, Looker) a plus.</li><li>
Demonstrated ability to work with and interpret marketing performance data &mdash; including campaign metrics, brand sentiment indicators, and conversion analytics &mdash; to inform project decisions.</li><li>
Proven ability to manage multiple concurrent projects while proactively communicating status, progress, and blockers.</li><li>
Hands-on experience with marketing technology platforms, campaign management tools, or project management tooling (e.g., Jira, Asana, or equivalent).</li><li>
Strong experience partnering with Engineering, Data Science, Decision Science, and Analytics teams.</li><li>
Experience working in agile/scrum environments; familiarity with sprint planning, backlog grooming, and retrospectives.</li><li>
Excellent communication skills, with the ability to translate complex technical and analytical concepts for non-technical audiences and maintain executive-level visibility.</li><li>
Strong organizational skills, including planning, prioritization, and risk management.</li><li>
High attention to detail and a proactive, problem-solving mindset.</li><li>
Quick learner with strong technical aptitude; comfortable operating in fast-paced, cross-functional environments.</li></ul> 
Additional Information 
Compensation &amp; Benefits
We believe in supporting our team professionally and personally. Here&rsquo;s a snapshot of the comprehensive benefits you&rsquo;ll enjoy as part of Sia.
Competitive Compensation<ul><li>
$80-$90 an hour commensurate with experience and qualifications</li></ul>
Diversity, Equity, Inclusion &amp; Belonging
At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
Office Workplace Guidelines
Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations&mdash;New York City, Charlotte, Seattle, and San Francisco&mdash;are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location.
Work Authorization &amp; Sponsorship
At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc).</div>

Technical Project Manager, Marketing - Contract

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