Headquarters: Remote
URL: https://www.toptal.com/

About the Role

We're looking for an Airtable Process Automation Expert to design, build, and optimize workflow systems that eliminate manual busywork for growing teams. This is not a "set up a base" role — you'll be architecting end-to-end operational systems: automations, integrations, and process logic that fundamentally change how a business runs day to day.

 

You'll work directly with clients to translate messy, manual processes into clean, scalable Airtable-based systems — often integrating with other tools in their stack.

What You'll Do

• Design and build custom Airtable bases, interfaces, and automations tailored to a client's specific operational workflows

• Map existing manual processes and re-architect them into automated, self-maintaining systems

• Build integrations between Airtable and third-party tools (Zapier, Make, Slack, Gmail, native APIs) to create seamless cross-platform workflows

• Write and maintain Airtable scripting (JavaScript) for advanced automation logic beyond native no-code capabilities

• Design relational data structures and table architecture that scale as client needs grow

• Create intuitive interfaces and views for non-technical end users, ensuring adoption without a steep learning curve

• Troubleshoot and optimize existing Airtable systems that have become slow, fragile, or overly complex

• Document systems clearly so clients can maintain and extend them after handoff

• Communicate directly with clients to gather requirements, set expectations, and explain technical tradeoffs in plain language

What You Bring

• 5+ years of hands-on experience building in Airtable, including advanced automation and scripting

• Demonstrated experience integrating Airtable with tools like Zapier, Make, or via native/REST APIs

• Strong process-mapping and systems-thinking skills — you can see the full workflow before you start building

• Experience designing for non-technical teams, with systems that are adopted and actually used, not abandoned

• Comfortable working independently and communicating asynchronously with distributed, remote teams

• A portfolio or examples of past Airtable automation projects you can speak to

Nice to Have

• Experience with other no-code/low-code platforms (Notion, Make, Retool, Glide)

• Background in operations, business process consulting, or a related field

• Familiarity with JavaScript beyond Airtable's scripting block

• Experience working with global clients in a consulting/freelance capacity

RATE: $80-$105/hr. USD

 

To apply: https://weworkremotely.com/remote-jobs/toptal-airtable-process-automation-expert

Tonkean is the world’s first totally customizable process experience platform. With Tonkean, you can create intelligent, personalized automations that integrate with every app or system your organization uses. You can cultivate an employee experience that democratizes access to innovative technologies traditionally only available to highly trained developers. You can enable employees to focus more fully on high-value tasks, because you can enable them to automate low-value tasks. You can create inbox solutions that automatically analyze, prioritize, and route unstructured requests coming from any source, and you can track the status of action items as employees collaborate across teams to complete them. And you can design processes that employees are guaranteed to adopt and benefit from no matter their technical acumen, because Tonkean meets employees where they are—eliminating the need for change management—and is 100% no-code.

At Tonkean, we believe that all this—compliance, efficiency, operational excellence—requires high levels of process adoption. But to ensure high levels of process adoption, you need to create processes that provide a great employee experience: that serve employees’ needs, understand their preferences, and solve their problems.

To that end, you need a barrier-breaking technology partner. That’s what Tonkean seeks to be.

ROLE OVERVIEW

As a Senior Implementation Engineer, you will design and build sophisticated workflow applications for some of the world’s largest enterprises using Tonkean’s no-code platform.

This is not a traditional implementation or configuration role.

You will think like a software engineer—breaking down business problems into logical systems, designing data flows, integrating data sources, troubleshooting complex behaviors, and building scalable solutions—without writing production application code.

Every customer implementation is different. You’ll build intelligent workflows that orchestrate people, systems, AI, and business rules across dozens of enterprise applications.

If you enjoy solving technical puzzles, thinking in systems, and building software that customers immediately use, you’ll thrive here.

WHAT YOU WILL WORK ON

• Design and build production-ready workflow applications that combine AI, business logic, enterprise integrations, and intuitive user experiences to solve complex business challenges.

• Translate customer requirements into scalable technical solutions, designing workflow logic that accounts for real-world complexity, edge cases, and evolving business needs.

• Build intelligent automations that orchestrate approvals, routing, SLAs, exception handling, and business rules across enterprise processes.

• Connect enterprise systems using native connectors, and data transformations to create seamless end-to-end workflows.

• Create AI-powered experiences that analyze requests, automate decisions, and guide users through complex business processes.

• Troubleshoot workflows, integrations, and data synchronization issues while optimizing performance and reliability.

• Collaborate with workflow architects and customers to iterate on solutions throughout implementation, testing, and deployment.

• Develop reusable workflow components, implementation patterns, and best practices that improve delivery across the organization.

• Demonstrate completed solutions to customers, incorporate feedback, and contribute ideas that shape the future of the Tonkean platform.

ABOUT YOU

• 5+ years designing or building technical solutions for enterprise customers.

• Strong systems thinking with the ability to translate complex business requirements into scalable workflows and automation.

• Experience implementing SaaS, workflow automation, integration, or low-code solutions in complex enterprise environments.

• Familiarity with JSON, data transformations, and system integrations.

• Excellent troubleshooting skills and the ability to diagnose technical issues where there isn’t an obvious answer.

• Comfortable learning new technologies, products, and business domains quickly.

• Experience translating technical documentation and customer requirements into working solutions.

• Excellent logical reasoning and problem-solving skills.

• Comfortable working directly with customers to understand requirements, demonstrate solutions, and iterate based on feedback.

• Experience with workflow automation, integration, or low-code platforms.

• Software development experience in any language.

• Experience working with AI-powered products or enterprise automation.

OUR VALUES

• There Is Always A Way. Nothing is impossible. Every problem has a solution—you just need to find it.
• Think People First. We invest in and prioritize people. We win as a team, listen with purpose, and value diversity.
• Start With Why And Fail Fast. Action and progress drive innovation. Every “how” begins with a meaningful “why.”
• No BS. Stay focused, keep it simple, and always move the needle.

PERKS AND BENEFITS

• Competitive compensation & equity package
• Virtual social events, and annual company offsite
• 401k, Medical, dental, and vision insurance
• Tonkean provides each employee with a MacBook Pro and a one-time work from home setup stipend of $1000(USD) upon commencing employment to purchase desk, chair and other work from home tools.

$145,000 - $165,000 a year

This role offers a competitive compensation package, including a base salary, performance-based incentives, and equity opportunities. Compensation will be commensurate with experience, skills, and qualifications. Tonkean also offers a comprehensive benefits package to support the well-being of our employees.

Tonkean welcomes everyone. We believe every member of our team enriches our diversity and inclusion by broadening our ways of problem-solving for future challenges. Even if you don’t meet 100% of the qualifications for this job, we strongly encourage you to apply.

Tonkean is an Equal Opportunity Employer and participates in the U.S. Federal E-Verify program. We believe diversity is important to building a successful business and do not discriminate based upon race, religion, color, national origin, sex, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other status protected by the laws or regulations in the locations where we operate. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with criminal histories.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Retail is Toast’s biggest bet and we are growing rapidly. The opportunity is massive, and the category is ours to define. You’ll have the backing of Toast’s scale, brand, and resources but you’ll be on the team architecting how we operate, scale, and win.  The decisions you make in this role will shape how Toast competes in retail for years to come. Toast is prioritizing AI integration across the enterprise to redefine GTM velocity. As part of this strategy, multiple business units are pursuing specialized AI initiatives tailored to market challenges. This model balances corporate-wide coordination with vertical accountability: teams work in lockstep to scale efficiencies and aggregate impact, while remaining responsible for developing, building, and launching solutions optimized for unique operating environments.

The GTM Sales Engineer & AI solutions is the core functional driver of this transformation within the Retail vertical. As an expert in applied AI, you will own the centralized deployment of AI applications to directly improve Productivity Per Rep (PPR). You will drive AI-powered productivity and automation across Retail sales, working with AEs and BDR/SDR teams to accelerate sales and with Onboarding to streamline the path to Customer Go-Live, with the opportunity to grow your impact across other GTM and client-facing teams as the vertical scales. You will be the operational linchpin running the Retail AI GTM Pod, architecting a continuous feedback loop sourcing grassroots ideas from the frontline, filtering them through a business lens, and scaling them into production tools.

This is a technical, builder-focused role. You will observe decentralized AI applications working across the organization and partner to accelerate their impact, making them structurally better, integrating them into core systems, and maintaining them long-term. While you will partner with central corporate operations and marketing to advocate for Retail use cases and scale company-wide efficiencies, you will also possess the autonomous engineering capabilities to construct vertical-specific pipelines when distinct merchant workflows require it. This role sits in Revenue Operations, but will also dotted-line report into engineering.

A day in the life (Responsibilities)

AI GTM Pod Governance & Solution Sourcing

• Leadership & Facilitation: Stand up the Retail AI GTM Pod to surface, qualify, and scale AI applications across the Retail field. The model could be a working group of AI-forward reps, managers, and leaders organized around defined themes in Sales & Onboarding, contributing domain expertise and frontline signals. The pod functions as an intake mechanism and sounding board, surfacing field experiments, pressure-testing priorities, and keeping your roadmap grounded in what moves the business.
• Idea & Solution Sourcing: Serve as the production engine for ideas surfacing through the pod and field. Evaluate what is worth scaling, determine the right build, buy, or borrow path, and take the strongest ideas from experiment to production tool—launching with Enablement to non-technical end-users and maintaining active ownership through adoption tracking, feedback, and iteration.
• Build vs. Buy Evaluation: Lead technical discovery to determine the most efficient path for problem statements, assessing whether to build a custom agentic solution, stitch existing APIs, or coordinate with vendors to purchase a scalable product.
• Roadmap Prioritization: Translate decisions into a sprint-based roadmap, prioritizing developments based strictly on their potential to drive vertical PPR and eliminate administrative friction.

Applied Engineering & Systems Integration

• Agile Sprint Execution: Maintain and execute against a technical scrum board, operating on defined sprint cycles to continuously ship, test, and iterate on AI-powered features.
• Industrializing Frontline Wins: Take successful, unscaled local experiments (e.g., territory expansion scoring, contact discovery pipelines, multi-intent category parsers) and harden them with error handling, version control, scalable code, and secure coding practices like input validation, secrets management, and mitigation of LLM risks (e.g., prompt injection).
• Systems Integration: Coordinate integration efforts to map vertical AI outputs into core GTM platforms (Salesforce, Snowflake, Taskray), ensuring local applications enhance rather than disrupt foundational enterprise pipelines.
• Data Integrity Architecture: Build & monitor data validation frameworks ensuring model inputs are pristine and outputs are entirely auditable and trusted by the field.
• Application Security: Design & enforce security controls for Retail AI applications, including authentication/authorization frameworks, secrets management, access controls on model outputs, and mitigations for LLM risks (prompt injection, data exfiltration). Ensure builds meet Toast’s security standards given system proximity to payment and customer data workflows.

Cross-Functional Partnership & Strategic Radar

• Enterprise Collaboration: Contribute to cross-functional AI coordination cadences connecting Revenue Operations, Marketing AI, and Business Technology teams across Toast. Align on company-wide AI investments, advocate for Retail use cases and merchant requirements in shared roadmaps, and identify where central efforts can be leveraged, adapted, or extended. Serve as Retail’s active voice in sequencing these shared initiatives while staying coordinated.
• Vertical Personalization: Monitor central enterprise tool developments (e.g., prospecting or enablement agent suites) to identify opportunities to clone, customize, or extend for Retail merchant types.
• Bidirectional Knowledge Exchange: Establish a pipeline for sharing locally developed code, architecture patterns, and prompt structures with central teams, ensuring Retail’s breakthroughs help elevate Toast’s engineering ecosystem.

Fluency, Enablement & Training Loops

• AI Fluency Leadership: Design and execute vertical-wide enablement tracks to build a baseline of confident, independent AI tool usage across sales reps, onboarding consultants, and managers.
• Adoption Analytics: Build & monitor adoption tracking mechanisms for deployed AI solutions, ensuring training translates into consistent field usage and measurable reductions in level of effort (LOE).

What you’ll need to thrive (Requirements)

• Applied AI Deployment: 4+ years of experience in a technical, analytical, or GTM operations role, with a track record of owning the full deployment lifecycle of applied AI applications, RAG pipelines, or agentic workflows, including post-launch monitoring, alerting, rollback procedures, and model version management.
• Modern AI Toolchain Literacy: Advanced, hands-on proficiency with developer-focused AI tools, specifically the Gemini Suite, Claude Cowork, and Claude Code.
• Modern Deployment Stack: Experience deploying and operating AI backend systems in production (API services, model inference pipelines, orchestration layers), with demonstrated ownership through reliability, observability, and incident response.
• Application Security Awareness: Familiarity with security best practices for AI-native systems, including authentication/authorization, secrets management, access controls on outputs, and awareness of LLM attack surfaces (prompt injection, data exfiltration).
• Agile Operational Fluency: Experience operating within an agile engineering model, including managing technical product backlogs, running sprint cycles, and maintaining scrum boards.
• Strategic Diplomacy: Exceptional communication skills with a proven ability to enter central enterprise forums, align stakeholders, advocate for vertical needs, and collaborate across business units.

What will help you stand out (Nonessential Skills/Nice to Haves)

• Software engineering or computer science background with the ability to write functional code (Python, JavaScript, or equivalent) and construct robust API integrations from scratch.
• Direct domain familiarity with B2B SaaS and Retail tech spanning grocery, convenience, or wholesale commerce environments.
• Experience building or scaling an AI program for non-technical end-users, including driving literacy, prompt engineering, or tool enablement.
• Degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience as a technical founder or builder.

AI at Toast

At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.

Zone A

$172,000—$275,000 USD

Zone B

$150,000—$240,000 USD

Zone C

$135,000—$216,000 USD

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid Working

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

---—

For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Forward Deployed Engineer (Perm, Italy, Remote + Travel)

This is a full-time, permanent opportunity for candidates based in Italy.

This position also requires frequent travel to client sites within Europe, with travel expenses covered by the company.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

About the role

As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks.

What we are looking for in this person:

• Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience.
• Experience designing and building agentic platforms using Python and modern AI frameworks.
• Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
• Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
• Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources.
• Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
• The ability to configure Kubernetes and deploy workloads.
• Design deployment architectures across cloud, on-premise, and hybrid environments.
• Ability to collaborate efficiently in teams of technical and non-technical individuals.
• Comfort working in a dynamic environment with evolving objectives and direct iteration with users.
• Strong consulting experience to plan, execute, and deliver complex client engagements, solving real business problems.

Nice to have:

• Hands-on experience working with Golang
• Hands-on experience in the Frontend working with React
• Deep understanding of Kubernetes

Benefits & Perks:

• Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
• Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!
• Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more.
• Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
• Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance you can use to upskill yourself.
• Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
• Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Our Interview Process

1. Talent Call (30 mins via Zoom)

An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We’ll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

1. Technical Assessment (1 hour via Zoom)

A live coding challenge with one of our trained interviewers. You’ll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment.

1. Hiring Manager Interview (45 mins via Zoom)

A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We’ll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project

Ready to Join Us?

If you’re passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Salary range - £75-£95,000 + bonus & benefits