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Conversion Manager Jobs in Seattle, WA (NOW HIRING)

Tin Can

Staff Product Manager, Conversion

Seattle, WA · On-site

$175K - $200K/yr

... management experience in consumer growth * A quant, you love a well-run experiment and you're comfortable being the most data-driven person in the room * A track record of moving conversion or attach ...

Cummins Inc.

2025 - Summer Intern Co-op Conversion

Tacoma, WA · On-site

$16 - $21.50/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates ... Hiring Manager has approved headcount and a position that they wish to directly convert you to your ...

Cummins Inc.

2025 - Summer Intern Co-op Conversion

Bellevue, WA · On-site

$16.75 - $22.50/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates ... Hiring Manager has approved headcount and a position that they wish to directly convert you to your ...

Cummins Inc.

2025 - Summer Intern Co-op Conversion

Seattle, WA · On-site

$17 - $22.75/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates ... Hiring Manager has approved headcount and a position that they wish to directly convert you to your ...

Cummins Inc.

2025 - Summer Intern Co-op Conversion

Seattle, WA · On-site

$17 - $22.75/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates ... Hiring Manager has approved headcount and a position that they wish to directly convert you to your ...

Cummins Inc.

2025 - Summer Intern Co-op Conversion

Bellevue, WA · On-site

$16.75 - $22.50/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates ... Hiring Manager has approved headcount and a position that they wish to directly convert you to your ...

Cummins Inc.

2025 - Summer Intern Co-op Conversion

Tacoma, WA · On-site

$16 - $21.50/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates ... Hiring Manager has approved headcount and a position that they wish to directly convert you to your ...

SpangleAI

Enterprise Account Executive

Bellevue, WA · On-site

$240K - $300K/yr

Build pipeline through founder and advisor introductions, partner channels, outbound, and inbound conversion * Managing complex, multi-stakeholder sales cycles with CMOs, CDOs, VPs of E-commerce, and ...

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All JobsConversion JobsConversion Manager JobsConversion Manager Jobs in Seattle, WA

Conversion Manager information

What is a conversion manager?

Conversion Managers are professionals responsible for optimizing a business’s website or digital campaigns to increase the percentage of visitors who complete desired actions, such as making a purchase or filling out a form. They analyze user behavior, run A/B tests, and implement strategies to improve conversion rates. Their role involves close collaboration with marketing, design, and development teams to ensure that user experience and messaging are aligned with business goals. Conversion Managers often use data analytics and user feedback to inform their decisions and measure the effectiveness of their efforts.

What skills and qualifications are needed to thrive as a conversion manager?

To thrive as a Conversion Manager, you need strong analytical skills, experience with conversion rate optimization (CRO), and a background in digital marketing or related fields. Familiarity with A/B testing platforms, web analytics tools like Google Analytics, and CRO certifications are commonly required. Exceptional communication, creativity, and project management skills help in collaborating with teams and driving innovative solutions. These competencies are vital for maximizing website performance, improving user experience, and achieving business growth targets.

How does a conversion manager typically collaborate with marketing and product teams to optimize user experience?

A Conversion Manager works closely with both marketing and product teams to analyze user behavior, identify drop-off points, and recommend improvements to increase conversion rates. This often involves sharing insights from A/B tests, aligning on messaging strategies, and coordinating website or app updates. Regular cross-functional meetings and data sharing are essential to ensure everyone is working toward common goals. By fostering open communication, Conversion Managers help bridge the gap between technical development and marketing initiatives for optimal user experience.

What is the difference between Conversion Manager vs Digital Marketing Specialist?

AspectConversion ManagerDigital Marketing Specialist
Required CredentialsBachelor's in Marketing, Business, or related field; experience in conversion optimization toolsBachelor's in Marketing, Communications, or related; proficiency in digital channels
Work EnvironmentCollaborates with marketing, design, and analytics teams to optimize user journeysDevelops and executes digital campaigns across platforms like social media, email, and search
Employer & Industry UsageCommon in e-commerce, SaaS, and online servicesUsed across various industries for online brand promotion and lead generation

The Conversion Manager focuses on improving website or app conversion rates through data analysis and user experience enhancements. In contrast, the Digital Marketing Specialist manages digital campaigns to attract and engage audiences. Both roles require marketing knowledge but differ in their primary objectives and daily tasks.

What are the most commonly searched types of Conversion jobs in Seattle, WA?

The most popular types of Conversion jobs in Seattle, WA are:

What are popular job titles related to Conversion Manager jobs in Seattle, WA?

For Conversion Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Conversion Manager jobs in Seattle, WA look for?

The top searched job categories for Conversion Manager jobs in Seattle, WA are:

Conversion Manager jobs near you

Manager II, Machine Learning - Conversion Visibility

Pinterest

Seattle, WA • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest's ads stack.

What you'll do: 

  • Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high-performing environment where the team can deliver end-to-end solutions. 
  • Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces.
  • Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high-impact outcomes.
  • Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems-including models, data pipelines, and serving surfaces-to integrate cleanly into the broader ads ecosystem.
  • Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML-powered systems end to end.
  • Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.

What we're looking for:

  • 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search).
  • 2+ years of experience as an engineering manager or technical lead.
  • Bachelors Degree in Computer Science, Statistics, or a related technical field, or equivalent experience.
  • Nice to have: Meaningful hands-on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains.
  • Proven technical leadership across both ML and software systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.
  • Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  •  This role will need to be in the office for in-person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area].

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