Senior Analyst, Strategy & Activation (Amazon DSP/SPA) 

MORE ABOUT KEPLER

Benefits & Perks:

• Competitive health and dental benefits.
• Tuition reimbursement and training stipend.
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
• “Work from Anywhere” 4 weeks per year.
• Stocked kitchen, and other team outings.
• Collaborative and friendly work space, easily commutable location.
• Volunteering & altruism opportunities.
• Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
• If something is important to you that’s not listed here, let us know!.

Career & Development Focus:

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
• Opportunities to pursue business related side projects and Hackathons.
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
• Opportunity to work with cutting edge technology and industry thought leaders.
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.

**All applications must include a Resume & Cover Letter in English to be considered. 

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

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Marketing Science Analyst (Test & Learn)

San Jose, Costa Rica

As a Marketing Science Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 1 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, with a strong focus on in-market testing and evaluation. You understand the nature and purpose of the main Digital marketing channels, enjoy collaborating with others, and are able to communicate clearly and effectively.

 You will:

• Support the design and execution of Test & Learn programs, including hypothesis development, experimental design, test setup, and statistical evaluation of results.
• Assist in the ideation, development, and execution of measurement frameworks, including recommendations on experiment type (A/B/n, matched control, pre/post, geolocation, and incrementality studies).
• Translate complex test results into clear and actionable insights through storytelling and data visualization.
• Gather marketing data across paid and owned channels to analyze campaign performances, understand user behaviors, and report findings.
• Collaborate with internal teams and partner agencies to deliver cohesive, insight-driven recommendations to internal stakeholders and clients.
• Occasionally support senior colleagues with analytics material for new business pitches and request for proposals.
• Build and maintain reusable analysis templates and code (SQL, R, or Python) to streamline and scale measurement.

You have:

• Top-notch communication and collaboration skills.
• Strong attention to detail and comfort managing complex, fast-moving testing programs.
• Hands-on experience with common digital testing scenarios (e.g., creative tests, audience/targeting tests, budget allocation tests, or landing page tests) OR formal education including coursework in experimental design and statistical evaluation (e.g., identifying groups, controlling variables, calculating statistical significance).
• Familiarity with statistical analysis techniques and quantitative methods.
• Comfort working with imperfect, observational data and applying appropriate techniques for bias reduction to derive credible directional insights.
• Strong understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another.
• Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people.

What We Offer:

• Maternity and parental leave extra days
• Competitive benefits packages
• Vacation, compassionate leave, sick days, and flex days
• Access to online services for families and new parents
• Diversity and Inclusion Board with 12 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts
• And more…

At Critical Mass, we value our employees and offer competitive compensation and benefits packages.  If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!

The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.

The ask stems from our want to:

Strengthen opportunity for continuous learning
Improve collaboration and team relationships.
Increase employee engagement

This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.

As a Marketing Science Senior Analyst, you will co-lead the design and execution of measurement strategies, advanced analytics, and content intelligence programs that drive media performance in B2B environments.  

You will partner with stakeholders to translate business objectives into KPIs, build scalable frameworks, and deliver actionable insights that optimize campaigns across creation and progression. Your expertise in data science, reporting, and testing ensures that marketing investments are measurable, transparent, and continuously optimized.  

You will: 

Measurement Strategy  

• Build and maintain measurement frameworks mapping campaign objectives to KPIs.  

• Assess current measurement approaches and recommend updates aligned with media plans.  

• Establish baselines using historical data and ensure governance protocols are documented.  

• Share updated frameworks with stakeholders to inform insights, learnings, and optimizations.  

Content Intelligence & Insights 

• Deliver regular insights and optimization recommendations (monthly cadence).  

• Support Quarterly Business Reviews with reporting and analysis.  

• Provide creative and media optimization recommendations.  

• Develop recap deliverables for prioritized campaigns and key moments.  

Advanced Analytics  

• Conduct analyses aligned to the Learning Agenda (e.g., forecasting, correlation studies, brand sentiment, ad- fatigue).  

• Build descriptive and inferential statistical models to evaluate campaign effectiveness.  

• Develop machine learning models for personalization, lead scoring, and progression analysis.  

Learning Program  

• Design and scale a structured Learning Agenda across media activities.  

• Build testing frameworks (A/B/M/V) and deliver test readouts.  

• Document best practices and maintain a centralized Learning Library dashboard.  

Data & Dashboards  

• Build and manage unified data foundations integrating campaign, programmatic, partner, and brand study data.  

• Establish anomaly detection mechanisms and QA processes.  

• Design and maintain dashboards (campaign performance, programmatic/social, partner data, brand studies).  

• Ensure taxonomy alignment across data sources and reporting views.  

Tagging, Trafficking & Taxonomy  

• Consult on tagging, trafficking, and UTM requirements to ensure measurement consistency.  

• Generate and manage Creative IDs (CID) database.  

• Support QA processes and flag trafficking issues based on anomaly detection.  

Collaboration & Leadership  

• Provide direction to associate analysts and analysts.  

• Contribute analytics content for proposals, pitches, and thought leadership initiatives.  

• Partner with stakeholders to align measurement, insights, and optimization priorities.  

You have: 

• B.S. degree in a quantitative or technical field (Economics, Mathematics, Computer Science, Business, etc.)  

• 3–5 years of experience leading analytics deliverables in media marketing science, ideally within B2B contexts.  

• Expertise in analytics platforms (Adobe Analytics, Adobe Experience Platform, Google Analytics, enterprise analytics tools, tag management systems).  

• Strong proficiency in Python, R, SQL, or other statistical programming languages.  

• Experience with ETL/data integration, automated reporting pipelines, and anomaly detection.  

• Skilled in data visualization platforms (Tableau, PowerBI).  

• Familiarity with machine learning techniques applied to media performance and personalization.  

• Experience analyzing B2B digital channels (paid search, display, CRM-driven campaigns, ABM (Account based marketing) platforms.  

• Understanding SEM, CRM, and account-based marketing integration within broader media strategies.  

• Knowledge of market research techniques and their application to media optimization.  

This role ensures that media marketing science is directly tied to business outcomes. By building robust measurement frameworks, delivering content intelligence, and driving advanced analytics, you will empower enterprise clients to optimize campaigns, enhance customer experiences, and achieve measurable growth in B2B markets.  

What We Offer:   

• Global maternity and parental leave   
• Work-life balance  
• Competitive benefits packages   
• Vacation, compassionate leave, wellness days, and flex days   
• Access to online services for families and new parents  
• Diversity and Inclusion Board with 13 affinity groups   
• Internal learning and development programs   
• Asociación Solidarista - You can join voluntarily 

“The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible!  Our new hires & employees are the future of our organization, and we want to set you up for long-term success.  In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.  The ask stems from our want to:  

Strengthen opportunity for continuous learning

Improve collaboration and team relationships.  

Increase employee engagement  

We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.”  

Role Overview

This role is responsible for executing on the account and office-level vision and priorities within the organization.

The main output of this role is to own Marketing Science deliverables across a broad range of initiatives.

Career development is typically provided by Marketing Science Leads, but may be adapted depending on the account or office location.

The nature of the role is that of a learner, expected to develop an intermediate understanding of Marketing Science while owning project contributions for client-facing deliverables.

Core Responsibilities

Analytical & Technical Expertise

2-3 years of demonstrated experience with at least two of the following areas:

• Testing and optimization

• Statistics

• Data visualization

• Tagging

• Reporting

Communication & Insight Delivery

• Ability to communicate complex analysis clearly and effectively in an easy-to-understand manner.

• Ability to communicate effectively with day-to-day clients.

• Ability to compose client communications with clear grammar and structure.

Collaboration & Commercial Awareness

• Ability to support colleagues in selling analytics work.

• Ability to manage multiple deliverables simultaneously and transition efficiently between them.

Presentation & Stakeholder Engagement

• Ability to present low to mid-complexity projects confidently to internal stakeholders.

Marketing & Media Knowledge

Understanding of the following concepts (as relevant to the role):

• Main forms of digital marketing and how they differ

• How traditional advertising is planned and executed

• Different types of media channels

• Principles of Search Engine Marketing (SEM)

• How CRM activities are planned and executed

• How market research can enhance analytics work

Skills

Soft Skills

• Curiosity

• Critical thinking

Hard Skills

• Proficient understanding of:

  • Adobe Analytics

  • Google Analytics

  • Media tools

• Basic ability to navigate technical or analytical challenges.

• Intermediate knowledge and working experience with agency technology platforms.

Key Activities

• Solve well-defined analytical problems with guidance.

• Work closely with and mentor Associate Analysts.

• Assist in the ideation, development, and execution of measurement strategies and frameworks.

What We Offer:

• • Maternity and parental leave extra days
  • Competitive benefits packages
  • Vacation, compassionate leave, sick days, and flex days
  • Access to online services for families and new parents
  • Diversity and Inclusion Board with 12 affinity groups
  • Internal learning and development programs
  • Enterprise-wide employee discounts
  • And more…

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Failure Analysis (FA) Engineer to be in charge of analyzing failures from product development and field uses to ensure that issues are addressed to meet our product reliability targets. We are looking for someone with strong FA skills and is able to execute end-to-end failure analysis at component (e.g. PCBAs, actuators), module (e.g. hand, battery pack), and system (robot) levels. 

Responsibilities:

• Analyze robot and component failures from test and field to find root cause of failure.
• Collaborate with cross-functional partners, including ME/EE Design, Manufacturing, System Integration, SW/FW, and CMs to find and implement corrective actions (CA).
• Implement best FA practices and streamline FA processes to minimize FA to CA time.
• Identify and procure FA equipment and contribute to in-house FA Lab build and improvement.
• Supervise and drive supplier FAs.

Requirements:

• Minimum 2 year experience in hardware failure analysis in robotic, automotive, or consumer industry.
• Understand typical hardware failure modes, mechanisms, FA determination methods, and mitigations, such as fracture (overload vs. fatigue), glue delamination, contamination, corrosion, solder crack, etc.
• Real world product development and FA experience in at least 2 relevant areas such as PCBA, battery cell/pack, harness/connector, metals, plastics, actuator/moving part.
• Possess at least some of following physical FA skills and familiarity in using relevant equipment:
• Optical inspection w/ Keyence microscope.
• Laser Induced Breakdown Spectroscopy (LIBS) material analysis
• SEM/EDS imaging and elemental analysis
• CT, X-ray and interpret the data (VGStudio experience preferred)
• FTIR chemical analysis and interpret the result
• Mechanical cross-sectioning of PCBAs
• Mechanical assembly / teardown using torque tools.
• Electrical triage based on circuit diagram and using tools such as DMM, lock-in IR thermography, oscilloscope, probe station, function generator, IV-Tracing, TDR.
• Instron material testing system.

Bonus Qualification:

• CATIA V6 experience for viewing ME design CAD.
• Altium experience for viewing EE PCBA design.
• Experience in specifying and building a FA lab.
• Experience with high volume manufacturing processes.
• Experience working with contract manufacturers

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Hardware Reliability Engineer in charge of driving design for reliability, designing and executing test plans for our humanoid robots to ensure they meet our lifetime specs. 

Responsibilities: 

• Collect and analyze current and prospective product use cases to define hardware reliability specs and validation methods.
• Lead DFMEA efforts with design engineers to analyze and assess potential design risks, detection and mitigation methods.
• Develop and execute accelerated life tests for materials, modules, and systems, e.g. structural parts, joints, softgoods, robot head/torso, charger, EMC, full robot and robot ecosystem product.
• Work with test engineers to develop custom test fixtures, electronics, and codes.
• Working with cross-functional teams, own reliability test planning and preparation in-house and at supplier sites.
• Drive and manage internal/external resources and suppliers in executing reliability tests in each engineering build.
• Support failure analysis from reliability tests, fleet operations, and field uses.
• Document failures and work with design and manufacturing engineers to resolve issues.
• Conduct physics-based and statistical analysis on test and field failures to assess risk and provide actionable recommendations.

Requirements: 

• Minimum 2 years of work experience in reliability engineering.
• Bachelor's degree or higher in mechanical, electrical, materials engineering or related field
• Strong knowledge of hardware failure modes and failure physics.
• Strong knowledge in developing accelerated life test specs and methods, such as high temperature high humidity, thermal cycle, vibration, shock, and load/use cycle tests.
• Familiarity with Weibull++, JMP, or related data analysis software.
• Experience in hardware assembly and instrumentation setup.

Bonus Qualifications: 

• Experience with CATIA for 3D mechanical design.
• Experience with Altium for viewing PCBA design.
• Experience with electric motors, gearboxes, or actuators.
• Experience with reliability modeling, e.g. Ansys Sherlock analysis, and Monte Carlo simulation.
• Experience with testing standards such as JESD22, ISO16750, GMW3172, MIL-STD-810.  
• Experience with coding languages such as Python, MATLAB, C.
• Knowledge of failure analysis tools and techniques such as optical microscopy, CT/Xray, SEM/EDS, PCBA cross-sectioning. 

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Senior Reliability Engineer in charge of developing and executing reliability test plans for the printed circuit board assemblies (PCBAs), harnesses, and connectors to ensure they meet our humanoid robot product reliability targets. We need someone who can derive reliability targets and test specs with incomplete field usage knowledge, give data-driven recommendations to the design and manufacturing teams for what to improve, and advocate for design for reliability in the design phase. 

Responsibilities: 

• Work with cross-functional teams, own hardware reliability requirements and validation strategy.
• Develop and execute accelerated life tests for PCBAs, electronic components, electrical harness and connectors.
• Lead DFMEA efforts with design engineers to assess design risks, impacts, controls, and corrective actions.
• Design reliability test flows and procedures, communicate with internal and external/CM teams to execute tests and report results. 
• Work with test engineers to design setup and fixtures used in reliability testing.
• Guide and support PCBA, harness, connector failure analysis, design of experiments (DOEs) and corrective action processes with cross-functional teams.
• Analyze field data, assess field risks, and design tests that correlate to field usage conditions.

Requirements: 

• 5+ years of experience in relevant reliability engineering areas.
• Bachelor's degree or higher in relevant science and engineering fields.
• Strong knowledge of environmental reliability test principles, models, and methodologies, such as high temperature high humidity, thermal cycle/shock, mechanical vibration/shock.
• Strong knowledge of industry test standards such as AECQ, JEDEC, IPC standards.
• Strong knowledge of electrical circuits, PCBA design and relevant SW tools (e.g. Altium).
• Strong knowledge of PCBA, harness and connector failure modes, mechanisms, and FA techniques.
• Hands-on experience on field reliability risk analysis and failure prediction methods.
• Hands-on experience with Weibull++, JMP, or other reliability statistical analysis software.
• Hands-on experience on electronic circuit debug and relevant tools, e.g. source meter, oscilloscope. 
• Hands-on experience with 3D CAD tool (e.g. CATIA).

Bonus Qualifications: 

• Experience of shipping reliable robotics, consumer or automotive products.
• Knowledge of PCBA, harness and connector manufacturing processes and quality control practices.
• Hands-on experience of CATIA V6 CAD.
• Hands-on experience of finite element analysis (FEA) SW, e.g. Ansys.
• Hands-on experience of FA tools & techniques such as SEM/EDS, CT-Xray, Cross-section, FTIR.
• Hands-on experience of accelerometers, load cells, strain gauges and relevant setup and data acquisition techniques.

The US base salary range for this full-time position is between $150,000 - $225,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.