How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

Our platform AI provider may use the content we send it, your profile and the job posting, to improve its models. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Product Manager, Advertiser Platform Partnerships at Google, Kirkland, WA

Product Manager, Advertiser Platform Partnerships at Google in Kirkland, WA. $163,000 to $236,000 a year. Apply with swipeandhired.

Advocate for advertiser needs across advertiser platform and quality teams for key verticals, ensuring that we deliver value to advertisers with a comprehensive product suite.

Develop a product roadmap and strategy to creatively meet advertiser needs and capture incremental value.

Interface directly with customers and sales teams to gather feedback, solve customer issues, and ensure alignment between the product roadmap and their needs.

Act as a lead for cross-functional teams across various roles and functions, including Engineering, UX, and Sales.

Validate the market size and opportunity (e.g., user-based, strategic opportunity, revenue).

Minimum qualifications:

Bachelor's degree or equivalent practical experience.

5 years of experience in product management or related technical role.

Experience with the digital advertising ecosystem.

Experience using data, A/B testing, and experimentation to drive product decisions.

Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

Master's degree in a technology or business related field.

3 years of experience in a role preparing and delivering technical presentations to senior leadership.

2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a Product Manager within the Advertiser Platform team, you will lead the core product strategy that redefines how high-growth advertisers and agencies express their business goals, orchestrate budgets, and execute media buying. You will own the vision to build an agentic, outcome-based, cross-channel budget decisioning and media buying future. This foundational platform will ensure Google can secure long-term growth in an increasingly AI and cloud-driven Adtech ecosystem.

Historically, advertisers have been forced to translate complex business objectives into fragmented technical settings (bidding strategies, opaque conversion values, and channel-specific configurations). In this role, you will lead a paradigm shift: building a holistic, business-centric goals framework that transitions Google Ads from siloed technical configurations into a natural language, intent-driven, cross-channel orchestration engine.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Mountain View, CA, USA.

Bachelor's degree or equivalent practical experience.

5 years of experience in product management or related technical role.

Experience with the digital advertising ecosystem.

Experience using data, A/B testing, and experimentation to drive product decisions.

Experience integrating generative AI tools or LLM interfaces into workflows.