info_outline XThis posting is for a new vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes. If needed, use this French Canadian translation: "Google utilise des outils d'IA pour faciliter l'évaluation des candidats dans le cadre de nos processus de recrutement." Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 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: Toronto, ON, Canada; Waterloo, ON, Canada; Seattle, WA, USA; Kirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA; Raleigh, NC, USA; Durham, NC, USA; Cambridge, MA, USA. Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. 7 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience. 3 years of experience with Generative AI, Large Language Models (LLMs), Machine Learning, and related frameworks. Experience with cloud platforms and technologies. Preferred qualifications: Experience as a software developer, consultant, educator, community manager, product manager, CTO, or consultant. Experience in developing or delivering software, including coding experience in one or more of the following languages like Java, Python, C#, Go, JavaScript, Ruby, PHP. Experience communicating at technology conferences, blogging/writing technical articles with an existing follower base, or contributing to a popular open source project. Proven track record of setting technical strategy for large teams and large projects. About the job In this role, you will be reading and sharing about market and developer trends in your communities. You will work within the community to source signals about up and coming ideas. As you find ideas, you will design experiments for yourself and the team to run to test the viability of your hypothesis for Google Cloud and languages. You are a risk taker and understand how to learn from failure and improve the next experiment. You will work both as an individual, as a lead, and as a participant in others' experiments. You will have great executive presence and can tailor your messages including thoughts, forecasts, and findings to a wide variety of audiences, and ultimately drive impact by scaling your learnings.Our team explores what's next for Cloud and developers by running experiments, reporting findings to our organization, and aligning teams that we can capitalize on in the market. We work both as individuals and as a team to evaluate nascent technologies, patterns, and ideas to determine their relevancy for developers. We do our work publicly so all developers can learn from our successes and failures. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits Canada: $204000 - $210000 (CAD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Ideate, form, and run experiments based on market or developer trends, synthesizing and sharing findings with the broader team. Act as a community liaison to emerging groups to establish relationships and understand developer signals. Interact with Google Cloud and other executives to understand market roadmaps and trends. Work both as an individual and with the team on work and can shift between leading and contributing on key projects. Take initiative focused on personal and scaled growth, looking for ways to continuously improve personal knowledge and productivity.