Agentic Data Cloud Sales Specialist III, Google Cloud
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to include sections only when posting has real specific content. So we can have:
- About the role (or About the job) content: the paragraph(s) describing the role.
- Responsibilities: list of duties.
- Qualifications: maybe combine Minimum and Preferred? Could have Requirements? But we have Minimum qualifications and Preferred qualifications. Could put them under Qualifications (maybe separate subheadings? But only h3 allowed. Could have two sections: Minimum qualifications and Preferred qualifications? The instruction list includes Qualifications as a possible heading. Could use that for both? Might be better to have Qualifications section containing both minimum and preferred as lists. However we need to preserve all substantive info; we can list them as - items.
- Benefits: list.
- Pay: include the salary range and bonus etc.
- Schedule: not present, so omit.
- Skills: not explicitly separate; could be part of qualifications.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate like EEO, accommodation, etc. Also remove lines about location note? The location note about sharing preferred working location is maybe not essential? It's substantive? It's about location options. Might be considered metadata but could be kept? The instruction: preserve ALL substantive information; do not invent or summarize away detail. The location note is substantive: "Note: By applying to this position you will have an opportunity to share your preferred working location from the following: ..." That's info about location options. Should we keep? It's not a heading; we could put it in a
under About the role maybe. But it's a note. Could include as a paragraph.
Also the first sentences about location: "This role may also be located in our Playa Vista, CA campus." and Fair Chance Ordinance statements. Those are location/legal statements; they might be considered boilerplate? They are specific to location and legal compliance. Might be considered substantive? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Those are legal statements (Fair Chance Ordinance). Likely considered legal boilerplate, so remove them. Also the note about Washington state law highlighting benefits is part of benefits section; we keep benefits.
Thus we will produce HTML:
About the role
... paragraphs describing the role ...
Responsibilities
- ... each responsibility ...
Qualifications
Minimum qualifications:
- ... each minimum qualification ...
Preferred qualifications:
- ... each preferred qualification ...
Alternatively could combine into one list but better to keep distinction.
Benefits
- ... each benefit ...
Pay
US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
We must not include schedule.
We need to preserve all substantive info from responsibilities list: Let's extract responsibilities from the text:
"Deliver against quota and achieve or exceed strategic business and growth goals, driving net-new greenfield logos and workloads in existing accounts through proactive campaigns."
"Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to Return on Investment (ROI) business case creation and commercial close."
"Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data and AI capabilities to quantified business outcomes."
"Align cross-functionally with Field Sales Representative (FSRs) and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions."
"Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents."
Also there is a line: "Learn more about benefits at Google ." That's a link; we should remove as it's boilerplate/application instruction? It's a link to benefits; maybe considered navigation; remove.
Now About the role paragraphs: We have several paragraphs after "About the job". Let's extract:
"The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization. You are a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP. You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems."
We need to keep that as prose; could be one or multiple tags. Probably one
is fine.
Now Minimum qualifications list:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications list:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or Independent Software Vendor (ISVs) to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
Now Benefits list: Let's extract from the benefits paragraph:
"Benefits for this role include: Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid 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 employmentSick 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 weeksBaby Bonding Leave: 18 weeksHolidays: 13 paid days per year"
We need to split into sensible items. Could list each benefit as separate
- . Let's parse:
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- 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
We'll output as list.
Pay: "US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits"
Now ensure no extra boilerplate. Also remove the line "Learn more about benefits at Google ." Already removed.
Now produce HTML fragment.
We must not include or . Just the fragment.
Let's craft:
About the role
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization. You are a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP. You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals, driving net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to Return on Investment (ROI) business case creation and commercial close.
- Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer,
under About the role maybe. But it's a note. Could include as a paragraph. Also the first sentences about location: "This role may also be located in our Playa Vista, CA campus." and Fair Chance Ordinance statements. Those are location/legal statements; they might be considered boilerplate? They are specific to location and legal compliance. Might be considered substantive? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Those are legal statements (Fair Chance Ordinance). Likely considered legal boilerplate, so remove them. Also the note about Washington state law highlighting benefits is part of benefits section; we keep benefits. Thus we will produce HTML:
About the role
... paragraphs describing the role ...
Responsibilities
- ... each responsibility ...
Qualifications
Minimum qualifications:
- ... each minimum qualification ...
Preferred qualifications:
- ... each preferred qualification ...
Benefits
- ... each benefit ...
Pay
US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
We must not include schedule. We need to preserve all substantive info from responsibilities list: Let's extract responsibilities from the text: "Deliver against quota and achieve or exceed strategic business and growth goals, driving net-new greenfield logos and workloads in existing accounts through proactive campaigns." "Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to Return on Investment (ROI) business case creation and commercial close." "Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data and AI capabilities to quantified business outcomes." "Align cross-functionally with Field Sales Representative (FSRs) and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions." "Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents." Also there is a line: "Learn more about benefits at Google ." That's a link; we should remove as it's boilerplate/application instruction? It's a link to benefits; maybe considered navigation; remove. Now About the role paragraphs: We have several paragraphs after "About the job". Let's extract: "The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization. You are a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP. You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems." We need to keep that as prose; could be one or multipletags. Probably one
is fine. Now Minimum qualifications list: - Bachelor's degree or equivalent practical experience. - 10 years of quota-carrying enterprise sales experience. - Experience building business cases through workshops or product demos to business executives. - Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists). - Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML. Preferred qualifications list: - Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems. - Experience working with Global System Integrators, hyperscalers, or Independent Software Vendor (ISVs) to co-sell and accelerate pipeline. - Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing). - Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics. Now Benefits list: Let's extract from the benefits paragraph: "Benefits for this role include: Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid 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 employmentSick 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 weeksBaby Bonding Leave: 18 weeksHolidays: 13 paid days per year" We need to split into sensible items. Could list each benefit as separate
About the role
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization. You are a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP. You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals, driving net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to Return on Investment (ROI) business case creation and commercial close.
- Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer,