Location: Australia
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Japan
ROLE OVERVIEW:
You’ll lead and close high-stakes enterprise deals across the region, expand existing relationships, and create durable revenue streams with major organizations.
- Build and grow trusted relationships with CxOs, IT leaders, and Customer Service executives in large enterprises.
- Drive measurable growth within the accounts you own, turning them into long-term success stories.
- Expand Wonderful’s footprint by opening new doors and landing fresh enterprise customers.
- Hit - and exceed - activity, pipeline, and revenue targets, setting the bar for sales excellence.
- Keep customer details sharp and actionable in Salesforce: use cases, purchase timelines, next steps, and forecasts.
- Sell on value, not features using a solution-based approach that proves real business impact for customers.
REQUIREMENTS:
- 7+ years of smashing Sales quotas in SaaS or AI-driven solutions, consistently closing large, complex accounts with multi-stakeholder cycles
- Exceptional communication, presentation, and negotiation skills
- The ability to work independently, manage a sales pipeline, and prioritize effectively
- Excellent English (written and spoken) plus fluency in local language
- A passion for artificial intelligence and a "get-it-done" attitude
- A "hunter" mentality with a track record of generating new leads and closing deals
- A proven ability to navigate and win in early-stage, high-growth environments, staying sharp and effective with limited oversight
- Strong relationships with CxOs and senior decision-makers at enterprise level with the credibility to open new doors fast
- The skill to cut through tech jargon and turn technical capabilities into clear, compelling business value that makes executives lean in
- Proven wins working hand-in-hand with System Integrators and Hyperscalers to drive joint success
- Bachelor’s Degree (or equivalent hustle and expertise)
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Thailand
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: South Korea
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Singapore
Workplace: Hybrid
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Japan
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Minimum of 5+ years of experience in technical program management, delivery, consulting in fast-growing companies
- Background in management consulting, enterprise transformation, or product deployment within complex organizations.
- Experience in AI, data, or technology strategy, including defining use cases and mapping end-to-end business processes.
- Comfortable working with technical concepts such as APIs, MCP, data flows, and system integrations
- Strong stakeholder management skills, with the ability to communicate clearly with both technical and non-technical audiences.
- Communication skills in Japanese: Fluent to native-level (JLPT N1)
- Communications skills in English: Business-level
- Knowledge of AI platforms, enterprise software, or digital transformation in regulated or critical sectors is highly beneficial.
- Bachelor’s degree or equivalent practical experience in business, engineering, computer science, or a related field.
- Ability to travel within Tokyo as needed to support customer deployments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Indonesia
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Hong Kong
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Czech Republic
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Hong Kong
ROLE OVERVIEW:
You’ll lead and close high-stakes enterprise deals across the region, expand existing relationships, and create durable revenue streams with major organizations.
- Build and grow trusted relationships with CxOs, IT leaders, and Customer Service executives in large enterprises.
- Drive measurable growth within the accounts you own, turning them into long-term success stories.
- Expand Wonderful’s footprint by opening new doors and landing fresh enterprise customers.
- Hit - and exceed - activity, pipeline, and revenue targets, setting the bar for sales excellence.
- Keep customer details sharp and actionable in Salesforce: use cases, purchase timelines, next steps, and forecasts.
- Sell on value, not features using a solution-based approach that proves real business impact for customers.
REQUIREMENTS:
- 7+ years of smashing Sales quotas in SaaS or AI-driven solutions, consistently closing large, complex accounts with multi-stakeholder cycles
- Exceptional communication, presentation, and negotiation skills
- The ability to work independently, manage a sales pipeline, and prioritize effectively
- Excellent English (written and spoken) plus fluency in local language
- A passion for artificial intelligence and a "get-it-done" attitude
- A "hunter" mentality with a track record of generating new leads and closing deals
- A proven ability to navigate and win in early-stage, high-growth environments, staying sharp and effective with limited oversight
- Strong relationships with CxOs and senior decision-makers at enterprise level with the credibility to open new doors fast
- The skill to cut through tech jargon and turn technical capabilities into clear, compelling business value that makes executives lean in
- Proven wins working hand-in-hand with System Integrators and Hyperscalers to drive joint success
- Bachelor’s Degree (or equivalent hustle and expertise)
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Toronto
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Riyadh, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is seeking a proficient
Master Data Management (MDM) Business Analyst - Informatica
to join our dynamic team. In this role, you will serve as a key liaison between business stakeholders and technical teams to ensure that Informatica-based MDM solutions effectively meet organizational data management needs.
You will be responsible for gathering and documenting business requirements, analyzing existing data processes, and collaborating with technical teams on solution design and implementation. You will also help in identifying data quality issues, facilitate data governance activities, and support ongoing MDM initiatives to improve data accuracy, consistency, and compliance.
If selected, the work location would be onsite at
Al Khobar.
Key Responsibilities
Collaborate with business stakeholders to understand their master data requirements, document data definitions, and analyze data structures for optimal data management.
Plan and execute data migration activities, including data mapping, data extraction, transformation, and loading (ETL) processes, during system upgrades or platform transitions.
Ensure compliance with data security and privacy regulations, implement access controls, and monitor data usage to protect sensitive master data.
Conduct thorough analysis of existing master data sets to identify discrepancies, anomalies, and opportunities for improvement, providing actionable insights to stakeholders.
Develop and generate reports, dashboards, and data visualizations to provide insights into master data quality, trends, and performance, supporting decision-making processes.
Facilitate change management activities related to master data management initiatives, including communication, training, and stakeholder
Develop and enforce master data governance policies, standards, and processes to ensure data quality, consistency, and compliance with regulatory requirements.
Collaborate with business users and IT teams to map data sources, define data hierarchies, and create data models that support effective master data management.
Define and implement data standardization rules and processes to harmonize master data elements across disparate systems and business units.
Coordinate the integration of master data management solutions with existing enterprise systems, ensuring seamless data flow and interoperability.
Requirements
Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required
5+ Years of Work Experience as a Master Data Management (MDM) Business Analyst or similar role is required.
Certified Data Privacy Solutions Engineer (CDPSE) preferred
Certifications in MDM or Informatica is highly preferred.
Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred
Proven experience as a Business Analyst, specifically in Master Data Management (MDM).
Strong understanding of MDM principles, data governance, and data quality management.
Experience with MDM tools (e.g., Informatica, SAP MDG, Oracle) is a plus.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills to effectively engage with stakeholders.
Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
Eram Talent is in search of a dedicated
Data Quality Development Analyst
to enhance our commitment to delivering exceptional staffing solutions. In this pivotal role, you will ensure that our data quality standards are met and continuously developed, contributing to our data-driven decision-making capabilities across the organization.
The role holder is responsible for designing data quality assurance policies and standards, developing an enterprise data quality solution, defining metadata repositories and master data management to enable leverage enterprise data for business intelligence. The role holder is also responsible for installing and maintaining business intelligence tools and fine-tuning their performance.
Key Responsibilities
Responsible for designing, testing, deploying and documenting the data quality procedures and their outputs
Design processes and technology to enable the client to leverage the enterprise data for business intelligence purposes.
Define the data policy, standards and guidelines and ensure consistency.
Coordinate with Master Data Quality Manager and define metadata repository for digitally and physically storing and cataloguing data.
Design master data management to provide processes, governance, policies, standards and tools to define and manage master data.
Define quality assurance policies and standards to ensure consistency in business intelligence reports.
Identify and highlight issues related to data quality in order to improve accuracy of reports leading to proper decision making.
Liaise with Master Data Quality Manager to provide support in development, operations and maintenance of dashboards and reports in the Technology environment.
Install business intelligence tools and configures hardware and software components.
Perform users’ administrator setup and provides continuous support for maintenance.
Perform business intelligence performance tuning to ensure optimal performance.
Recommend training and development interventions for team members to build their capabilities.
Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency.
Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner.
Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards.
Requirements
Bachelor’s degree in information technology, or equivalent from a recognized and accredited university is required.
5+ years of experience in data analysis, data quality, or a similar role.
Knowledge of Data Quality principles, policies and procedures.
Knowledge of Data Quality tools.
Strong understanding of data governance, data quality metrics, and data management principles.
Experience with data profiling tools and techniques.
Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
Strong analytical and problem-solving skills.
Excellent communication skills and ability to work collaboratively with diverse teams.
Detail-oriented with a strong focus on data accuracy and reliability.
Location: Global (Remote)
Workplace: Remote
SENIOR COMMUNITY MANAGER
Team: Community
Location: Flexible / Remote
Reporting to: VP of Community
ROLE OVERVIEW
Rwazi’s Community function represents the human surface area of the company — contributors, mappers, enterprise clients, and ecosystem partners.
The Senior Community Manager owns ecosystem strategy.
This role defines how these groups connect, interact, and reinforce one another within the broader Rwazi network.
Community at this level is not messaging.
It is network architecture.
The Senior Community Manager ensures Rwazi’s ecosystem compounds in trust, density, and strategic value over time.
CORE MANDATE
The Senior Community Manager is accountable for:
- Designing the structure of Rwazi’s ecosystem
- Strengthening relationships across users, mappers, clients, and partners
- Creating cross-node interaction within the network
- Increasing ecosystem resilience and loyalty
- Protecting long-term trust capital
This role builds durable relational infrastructure.
KEY RESPONSIBILITIES
ECOSYSTEM ARCHITECTURE
- Define how contributors, enterprise users, and partners interact
- Design structured engagement models across stakeholder groups
- Create pathways for collaboration and shared value
- Reduce ecosystem fragmentation
MULTI-STAKEHOLDER RELATIONSHIP STRATEGY
- Maintain strong relationships across core ecosystem segments
- Identify trust gaps or sentiment risk early
- Develop structured communication strategies per segment
- Balance enterprise professionalism with grassroots authenticity
COMMUNITY-TO-PRODUCT FEEDBACK LOOPS
- Surface structured ecosystem insights to Product and Leadership
- Identify recurring friction patterns across stakeholders
- Translate ecosystem signals into strategic adjustments
IDENTITY & NARRATIVE STEWARDSHIP
- Strengthen Rwazi’s identity within its network
- Develop rituals, recognition systems, and shared milestones
- Protect tone, positioning, and relational clarity
STRATEGIC EXPANSION SUPPORT
- Support VP of Community in scaling ecosystem footprint
- Evaluate new market or segment entry from a network perspective
- Identify ecosystem-driven growth opportunities
ROLE IMPACT
Strong performance results in:
- Higher ecosystem cohesion
- Increased stakeholder loyalty
- Stronger cross-network referrals
- Reduced churn across contributors and clients
- Greater long-term defensibility
This role strengthens Rwazi’s human moat.
WHAT THIS ROLE IS NOT
- Not delivery operations
- Not reactive support
- Not transactional messaging
- Not community engagement for engagement’s sake
This role requires structured ecosystem thinking.
QUALIFICATIONS AND PROFILE
We are looking for individuals who demonstrate:
- 6–10+ years in community, ecosystem, or network leadership roles
- Experience managing multi-sided platforms (marketplace, SaaS, or distributed networks)
- Strong relationship-building ability across different stakeholder types
- Strategic thinking around network effects
- Analytical comfort with retention, density, and ecosystem health metrics
- Executive communication clarity
Candidates may come from marketplace ecosystems, enterprise SaaS community leadership, or multi-stakeholder platforms.
CULTURAL FIT
We value leaders who:
- Think long-term about trust capital
- Balance warmth with strategic discipline
- Operate without ego but with authority
- Care about ecosystem integrity
- Prefer durable systems over reactive fixes
HOW CANDIDATES ARE EVALUATED
Candidates are evaluated based on:
- Their ability to design and scale ecosystem structures
- Evidence of strengthening multi-sided networks
- Clarity in handling stakeholder complexity
- Structured thinking around community health metrics
- Strategic maturity in managing trust across groups
SUMMARY
The Senior Community Manager leads the design and strengthening of Rwazi’s ecosystem across users, mappers, enterprise clients, and partners.
This role ensures that Rwazi’s human network compounds in value — becoming a durable competitive advantage over time.
Location: Global (Remote)
Workplace: Remote
EVENTS LEAD
Team: Monetization
Location: Flexible / Remote
Reporting to: Partnerships Manager
ROLE OVERVIEW
The Events Lead owns event-driven demand generation.
This role generates pipeline through owned events, curated roundtables, and high-signal executive gatherings.
Events are treated as revenue-generating infrastructure.
CORE MANDATE
The Events Lead is accountable for:
- Designing revenue-focused events
- Generating qualified pipeline from events
- Managing event-to-opportunity conversion
- Building recurring event frameworks
KEY RESPONSIBILITIES
- Plan executive roundtables and industry sessions
- Partner with Sales Directors on event strategy
- Track event-attributed revenue
- Optimize event ROI and conversion metrics
ROLE IMPACT
- Increased enterprise pipeline
- Higher executive access
- Accelerated trust-building
- Stronger deal acceleration
Location: Global (Remote)
Workplace: Remote
SALES DIRECTOR, MIDDLE EAST
Team: Monetization
Location: Middle East
Reporting to: Head of Monetization
ROLE OVERVIEW
Rwazi sells enterprise AI-powered decision intelligence subscriptions.
The Sales Director, Middle East owns new revenue execution across the Middle East market.
This role lands new enterprise accounts and expands existing subscriptions through structured pipeline discipline, executive engagement, and value-based selling.
This is revenue ownership, not relationship management.
CORE MANDATE
The Sales Director, Middle East is accountable for:
- Closing new enterprise subscription revenue
- Expanding ARR within existing accounts
- Driving pipeline-to-close efficiency
- Maintaining structured deal discipline
- Representing Rwazi at executive buyer level
KEY RESPONSIBILITIES
- Own full-cycle enterprise sales (land and expand)
- Maintain predictable forecast accuracy
- Navigate complex buying committees
- Align product capabilities with enterprise pain points
- Close multi-year subscription contracts
- Drive expansion within multi-department enterprise accounts
ROLE IMPACT
- Increased ARR
- Higher win rates
- Larger deal sizes
- Stronger Middle East market penetration
УдалённоmiddleМожно работать из любой страны
Thailand
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