Lead supplier and field quality initiatives, oversee vendor quality management, incoming inspection processes, and root cause analysis in a high-volume IoT hardware environment.
Compensation
The base salary range for this position is: $102,800 to $128,500. This range is specifically for Cambridge, MA
Responsibilities
Lead and continuously improve CMT's vendor quality management program
Oversee vendor qualification and onboarding
Plan and conduct supplier audits
Manage supplier performance through quality scorecards
Own incoming inspection processes
Requirements
Bachelor’s degree in Engineering, Quality Management, or related field
Nice to have: PPAP, APQP, FMEA
Nice to have: IPC-A-610, IPC/WHMA-A-620
Nice to have: Injection molding for cosmetic components
Nice to have: High-volume IoT or consumer electronics manufacturing
Lead a team of three focused on merchant experience and occasion quality for DoorDash’s New Verticals fulfillment, driving strategy, analytics, product development, and operational execution across multiple regions.
Leverage data to derive insights that align with the product’s shared vision and customer needs, inform product requirements, and analyze research, market data, and usability studies for data-driven decision-making.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Austin, TX| Salary: $143,922.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Responsibilities
Propose, review and implement product roadmaps
Evaluate use cases and design A/B testing and pilots
Decompose work efforts and create story narratives
Secure, host, and lead demos with internal and external clients
Complete baseline high level process mapping
Requirements
Master’s degree in Business Administration, Computer and Information Technology, or a closely related field
Nice to have: Experience defining product vision and roadmap strategy aligned to company-level objectives
Nice to have: Experience defining product success metrics and leading structured experimentation
Nice to have: Experience driving cross-functional alignment and influencing stakeholders within complex initiatives
Provide specialized support for consumer data management strategy, integrating Agile tooling with various sources to enhance intake processes, workflow automation, business management reporting, and training.
Compensation
$91,000 - $145,600 USD
Responsibilities
Design and optimize workflows and dashboards
Develop management insights
Maintain data management roadmap
Translate strategic priorities into executable plans
Partner across business, data, and technology teams to strengthen governance
Requirements
Undergraduate degree or Technical Certificate
Nice to have: Experience designing, configuring, and integrating Agile tooling with various other sources
Own and scale new growth initiatives, design experiments, partner with global teams, lead cross‑functional collaboration, and solve high‑impact problems.
Compensation
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits.
Responsibilities
Own and scale new growth initiatives with full accountability for customer experience, P&L performance, and promotional budgets.
Design and run experiments to test new opportunities, building and executing go‑to‑market plans for complex launches and campaigns.
Navigate internal complexity by partnering with global product, finance, and marketing teams to tailor solutions for local market needs.
Lead cross‑functional collaboration, ensuring priorities are delivered through strong project management even when facing shifting priorities.
Solve messy, high‑impact problems by breaking down complex data into actionable insights and structured plans.
Requirements
University degree in a quantitative field such as Economics, Finance, Engineering, Computer Science, or equivalent experience.
Nice to have: Product experimentation
Nice to have: Growth‑stage environments
Nice to have: Representing a company externally with partners, clients, or stakeholders
Develop advanced analytics, machine learning, and AI solutions for the US Vaccines business, focusing on healthcare datasets and AI agent workflows.
Responsibilities
Develop and deliver advanced analytics, machine learning, and statistical models across areas including customer segmentation, impact measurement, omnichannel analytics, resource allocation and budget optimization, experimental design and test/control analysis
Design and build AI agents and agentic workflows, including LLM-based solutions, to automate data extraction, model validation, and insight generation
Identify opportunities to apply machine learning and advanced analytics to complex business challenges and unmet patient needs
Analyze patient, HCP, health system, and other healthcare datasets to uncover actionable insights
Partner with business and analytics stakeholders to translate business needs into effective data science solutions
Responsible for collecting, transforming, and analyzing web and mobile digital data to provide actionable insights and optimize customer digital experiences.
Locations (2)
Lisboa, Portugal
Porto, Portugal
Compensation
Attractive, evolving compensation
When working with Axians, you will have access to performance bonuses in addition to an attractive salary pack (base salary + benefits).
Responsibilities
Translate business requirements into tagging and tracking plans
Monitor, validate, and ensure data availability across web and mobile digital assets while complying with GDPR
Configure and maintain Web Analytics solutions, including Adobe Experience Platform and OneTrust
Develop and manage Web Analytics dashboards and reporting workspaces
Analyze customer behavior, user experience, online performance, and conversion funnels to identify optimization opportunities
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants.
Responsibilities
Lead cross-functional projects with Engineers, Data Scientists, and Product Managers
Own and deliver on improving key quality and cost metrics
Build strategic initiatives and drive innovation across New Vertical offerings
Analyze data to drive business decisions using SQL and data visualization tools
Root cause problems and automate tasks using AI tools like Claude, Cursor, Gemini or Copilot
Requirements
Bachelor’s Degree in finance, economics, computer science, engineering, or related field
MBA preferred
Nice to have: AI tools such as Claude, Cursor, Gemini, Copilot
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