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Staff Ai Marketing Systems Engineer

1password

Remoto Remote (United States | Canada)
AI Uncategorized Systems Analyst

Job Score

100 pts
Remote model (+90) AI (+10) Systems Analyst (+10)

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

1Password's Solutions Marketing team is responsible for the stories, use cases, competitive narratives, and go-to-market (GTM) assets that sellers rely on every day. Solutions Marketing is building an AI-native service for Sales. Instead of asking sellers to search static playbooks and personalize assets for each of their accounts themselves, the AI service will create signal-driven guidance, personalized messaging, and always-current content for each selling situation.

You’ll build and operate the internal AI services that help sellers find current market intelligence, create tailored sales assets, and respond to deal signals without relying on static playbooks. This role is responsible for designing, building, and running the agent systems that support sellers across account planning, active deals, campaigns, competitive positioning, and sales enablement. You’ll work with large language model providers, coding agents, retrieval systems, and modern agent frameworks. Current examples include Claude, Codex, and other tools selected for reliability, security, and fit.

This is an internal product engineering role. You’ll treat Sales and Marketing teams as users, build against their real workflows, and turn successful solutions into maintained capabilities that can serve the broader organization.

You’ll sit within Solutions Marketing and work closely with Sales leadership, Marketing Operations, Data, Security, and central IT. You’ll own product and workflow decisions for Solutions Marketing systems while partnering with central IT and Engineering on shared infrastructure, access controls, security reviews, and production operations.

If you've been building with agents, workflows, and production AI systems and want to do it inside a company that ships AI to production, this is that role.

How we’re using AI today
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.

This is a remote opportunity within Canada and the US.

What you will build:

  • Discover and define workflows: Work directly with sellers, product marketing managers (PMMs), and campaign managers to map how they work today, where time is wasted, and what good output looks like. Begin with direct observation and conversations with the people doing the work, then turn those insights into clear technical requirements.

  • Define the agent runtime and application architecture: Design how the system manages context, state, tools, permissions, retrieval, evaluation, and human review. Define how it ingests account signals and playbook intelligence, routes requests to specialist agents, and surfaces outputs in the tools teams already use.

  • Design trusted knowledge flows: Define how the system finds, evaluates, and uses account, persona, product, competitive, and campaign information. Make thoughtful decisions about source-of-truth systems, information freshness, conflicting sources, structured and unstructured data, and provenance.

  • Build routing and specialist agents: Build the routing and execution system that selects the right tools, data sources, and specialist agents for each request. Cover sales asset generation, campaign briefs, competitive responses, copy production, and field support for active deals.

  • Integrate with Sales AI and go-to-market platforms: Connect the AI layer to the platforms 1Password runs on, including Salesforce, Seismic, Gong, Notion, Snowflake, and Slack. Ensure it works alongside existing Sales AI tools and workflows, with permission-aware tool use and clear boundaries for what each agent can access and change.

  • Design for trusted access and safe autonomy: Design and test permission-aware retrieval, source-level authorization, audit trails, provenance capture, prompt injection defenses, retention and deletion controls, and safe handling of customer and account information. Define where agents can act independently, where human approval is required, and how the system records those decisions.

  • Evaluate and improve agent behavior: Tune agent behavior using representative evaluation sets, seller feedback, usage data, and output quality signals. Measure accuracy, relevance, consistency, editing effort, adoption, and other workflow-specific outcomes. Improve prompts, tools, retrieval, models, and agent behavior as the go-to-market motion and product landscape evolves.

  • Build quality and reliability guardrails: Build evaluation frameworks, regression pipelines, release checks, and escalation paths that keep outputs accurate, useful, on-brand, and consistent. Define how workflows handle uncertainty, failure, and human review. Production output is valuable only when it is trustworthy and useful to the teams receiving it.

  • Operate and evolve the system: Own the roadmap and the full lifecycle of the systems you build, from prototype through reliable production use and eventual retirement. Monitor system performance, usage, quality, latency, and cost. Identify what to build next, deprecate what is not working, and partner with the appropriate teams to resolve failures and improve reliability.

How success will be measured:

  • Measure time to find relevant account and persona intelligence across defined seller workflows.

  • Generated assets take less time to produce and require less manual editing.

  • Agent outputs include current sources and clear provenance.

  • Track unsupported claims, stale-source usage, citation coverage, and manual editing effort over time.

  • Track adoption and repeat usage among defined seller and product marketing manager cohorts.

  • Time-to-response, cost-per-request, and output accuracy tracked against defined thresholds for each workflow in production.

What we are looking for:

You have shipped AI-enabled software that real users rely on.

  • Production AI systems: 6+ years experience designing, building, and operating workflows that use large language model (LLM) APIs, tool calling, retrieval, structured outputs, and agent workflows. Candidates should be able to describe systems they have shipped, how they evaluated them, what failed, and how they improved them based on real user feedback.

  • Agent-system architecture: Experience designing workflows with clear agent boundaries, context and state management, permission-aware tool use, evaluation, observability, failure handling, and human escalation. Familiarity with tools such as Claude, Codex, Cursor, Dust, LangChain, or LangGraph is useful but not required.

  • Technical judgment: Choose the simplest reliable approach for the problem. Know when to use deterministic code, a workflow, retrieval, a single agent, multiple agents, or human review. Avoid adding agentic complexity where it does not create meaningful value.

  • Builder's instinct: you'd rather put a working prototype in front of a seller today than write a spec about what's theoretically possible next quarter.

  • Evaluation: Experience building evaluation frameworks to measure agent output quality through prompt evaluations, output scoring, and regression testing against verified examples.

  • User-centered delivery: Prototype quickly with users, learn from real feedback, and turn what works into documented, reliable production systems.

  • Cross-functional collaboration: Translate workflow needs and feedback from PMMs, sellers, and campaign managers into clear technical requirements.

  • Technical communication: Explain system architecture and technical tradeoffs to engineers, then translate workflow constraints and user feedback into clear decisions with PMMs and sellers.


Preferred Qualifications:

  • Go-to-market fluency: Working knowledge of business-to-business software as a service (B2B SaaS) marketing and sales workflows, including personas, buying stages, positioning, competitive narratives, campaigns, sales enablement, and content governance. Able to translate feedback from PMMs, sellers, and campaign managers into clear product requirements and measurable improvements.

  • Sales, marketing, and data platforms: Familiarity with Seismic, Salesforce, Gong, Notion, Snowflake, or Slack APIs; experience with integration platform as a service (iPaaS) tools for cross-system automation; exposure to B2B SaaS or enterprise go-to-market environments.

USA-based roles only: The annual base salary for this role is between 139,000 USD and $202,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

Canada-based roles only: The annual base salary for this role is between $124,000 CAD and $180,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

This posting is for an existing vacancy.


Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.

You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.

How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.

This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.

Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.

What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:

Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy

Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account

Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.

Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.

Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.

1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form. For additional information see our Candidate Privacy Notice.

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About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

About Systems Analyst

The Systems Analyst is the professional responsible for analyzing, designing, and implementing technology solutions that meet business needs. They act as a bridge between business areas and the development team, ensuring that systems deliver real value to the organization.

Key skills include requirements gathering and analysis, process modeling (BPMN), data modeling, technical and functional documentation, system integration (APIs, microservices), and knowledge of ERPs and CRMs. Tools like Jira, Confluence, Visio, and project management platforms are essential.

Systems Analysts in technology companies are highly valued, especially those who master agile requirements analysis (user stories, backlog), system integration, and solution architecture. The field offers opportunities from junior analyst to solution architect, with a focus on efficiency, quality, and technological innovation.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Automation Analyst

The Automation Analyst is the professional responsible for identifying process optimization opportunities and developing automated workflows (RPA, scripts, or integrations). They map manual and repetitive tasks across various company areas and build automation solutions using low-code/no-code platforms (such as Zapier, Make, Power Automate, n8n) or RPA tools (such as UiPath), driving operational efficiency and error reduction.

About Product Owner

The Product Owner (PO) is the professional responsible for maximizing the value of the product delivered by the development team. They act as the voice of the customer and stakeholders, managing and prioritizing the product backlog, defining clear user stories, and ensuring the team works on the most valuable items for the business.

Key skills include backlog management, user story writing, prioritization (Mascow, RICE), agile methodologies (Scrum, Kanban), and stakeholder communication. Knowledge of tools like Jira, Trello, Azure DevOps, and Miro is essential.

Product Owners are highly sought-after professionals in the technology market, working collaboratively with Scrum Masters, Product Managers, and engineering teams to drive agility and continuous value delivery.

About SEO Analyst

The SEO Analyst is the professional responsible for optimizing websites for search engines, increasing organic visibility and qualified traffic. With the growing importance of digital marketing, SEO professionals are fundamental to any online presence strategy.

Key skills include on-page and off-page SEO, technical SEO, keyword research, SEO audits, link building, optimized content creation, and metrics analysis. Tools like Google Search Console, Google Analytics, Ahrefs, Semrush, Moz, and Screaming Frog are essential for daily work.

SEO analysts in technology companies are highly valued, especially those who master technical SEO, Core Web Vitals, and data-driven content strategies. The field offers opportunities from junior analyst to head of SEO, with a focus on organic growth, domain authority, and return on investment.

About Product Manager

The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.

Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.

Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).

About Technical Support

Technical Support is essential to ensure customer satisfaction and retention. Support professionals resolve technical issues, document solutions, and identify patterns that can lead to product improvements.

Key skills include troubleshooting, customer service, technical documentation, ITIL knowledge, and ticketing tools (Zendesk, Freshdesk, Intercom).

Technical support has evolved from a reactive to a proactive function, with high-level professionals working in Customer Engineering and Support Engineering.

Career Guides

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

The Evolution of Support and Customer Success

The Evolution of Support and Customer Success: Opportunities, Tools, and the New Professional Profile

Discover how customer service evolved from a cost center into the ultimate growth and retention engine for the world's leading tech and SaaS companies.

The Current Landscape: From Cost Center to Revenue Engine

Historically, customer support was viewed by companies merely as a reactive department, focused on troubleshooting technical issues and closing tickets. However, with the consolidation of the SaaS (Software as a Service) business model and the subscription economy, the game has drastically changed.

Today, Customer Experience (CX) and Customer Success (CS) are the pillars of a company's financial sustainability. The logic is simple: in a highly competitive market, the Customer Acquisition Cost (CAC) is incredibly high. Losing a customer (Churn) means bleeding money. The modern support professional is, in reality, a strategist focused on retention, account expansion (Upsell/Cross-sell), and ensuring that the client achieves their desired outcomes using the product.

"Acquiring a new customer is anywhere from five to 25 times more expensive than retaining an existing one." — Harvard Business Review

Customer Support vs. Customer Success: Understanding the Difference

Although both areas walk hand-in-hand, their roles and success metrics in the job market are distinct. Understanding this difference is crucial for anyone looking to enter or advance in this career:

  • Customer Support: Predominantly reactive and transactional. The focus is on the speed and efficiency of issue resolution. Common metrics include First Response Time (FRT), Mean Time to Resolution (MTTR), and Customer Satisfaction Score (CSAT).
  • Customer Success: A proactive and long-term function. The goal is to ensure the customer extracts maximum value from the product. CS professionals analyze the Health Score, conduct Quarterly Business Reviews (QBRs), and directly target Net Retention Revenue (NRR) while combating Churn.

Market Opportunities and Global Remote Work

The global market for B2B Support and CS professionals is hotter than ever. Startups and major international corporations are massively hiring talent worldwide to provide 24/7 coverage across different time zones.

Opportunities range from entry-level roles, such as Customer Support Representative (CSR), to high-level executive positions like Key Account Manager, Implementation Specialist, Customer Success Manager (CSM), and Head of CX. For professionals with native or fluent English, "Global Remote" and "US Remote" positions offer highly competitive six-figure compensation packages, equity, and aggressive benefits.

Tech Stack: The Tools You Must Master

To pass through the rigorous ATS (Applicant Tracking Systems, like Greenhouse or Ashby) used by top-tier tech companies, your resume must showcase familiarity with the platforms that orchestrate the customer journey. The most demanded tools include:

  • Zendesk and Intercom: The global leaders in ticket management, asynchronous chat, and omnichannel support automation.
  • Salesforce and HubSpot: Essential CRMs (Customer Relationship Management) to maintain data history and alignment between Sales and Support teams.
  • Jira and Confluence: Atlassian tools crucial for escalating frontline bugs directly to the Engineering and Product teams.
  • Gainsight and Totango: Enterprise-grade platforms specifically built for Customer Success, used to monitor portfolio health predictively.

The Profile of the Modern CX Professional

The stereotype of the agent reading from a rigid script is a thing of the past. Tech recruiters are looking for a profile that blends emotional intelligence with analytical (data-driven) capabilities. The most valued competencies today are:

  1. Empathy and Resilience: The ability to de-escalate frustrated clients and turn crises into loyalty-building opportunities.
  2. Flawless Asynchronous Communication: Especially in remote work environments, clarity in writing emails, documentation, and chat threads is non-negotiable.
  3. Data Literacy: Knowing how to read dashboards, spot where users are getting stuck in the product, and suggest improvements based on hard data.
  4. Product Vision: Modern support acts as the primary feedback loop between the end-user and the Engineering and UX Design teams.