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Widget Jobs (NOW HIRING)

Shopify app, storefront widget, AI extraction pipeline, internal tooling * Harden a live Shopify app and storefront integration across OS 2.0 and legacy theme realities with safe rollouts and easy ...

Software Engineer III

Lowell, MA · On-site

$102.30 - $147.05/hr

Build and automate tests using Flutter's testing framework across unit, widget, and integration layers. * Implement accessibility features in our Flutter applications, ensuring our products meet ...

Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active ...

MDM Architect

Reading, PA · On-site

$77K - $78K/yr

Support mashups, extensions, and widget integrations leveraging web technologies. * Collaborate closely with cross-functional teams, stakeholders, and vendors to ensure smooth enterprise data ...

Own testing at every layer: widget, cubit, repository, and security regression suites * Integrate mobile applications with Bluetooth Low Energy (BLE) connected devices in coordination with the device ...

Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active ...

The ideal candidate will have a strong background in 3DX Configuration, Data model, Customization (Widget / webservices / Enovia), Netvibes, software development, cloud computing, and DevOps ...

Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active ...

The ideal candidate will have a strong background in 3DX Configuration, Data model, Customization (Widget / webservices / Enovia), Netvibes, software development, cloud computing, and DevOps ...

Showing results 41-60

Widget information

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$22

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$63

How much do widget jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for widget in the United States is $42.55, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $47.84 per hour, depending on experience, location, and employer.

What are some common challenges faced by widget engineers when collaborating with cross-functional teams?

Widget Engineers often work closely with design, QA, and product teams to ensure that widget components meet both technical and user requirements. One common challenge is balancing differing priorities—design may focus on aesthetics, while engineering emphasizes functionality and efficiency. Effective communication and flexibility are essential to navigate trade-offs and align on project goals. Regular meetings, clear documentation, and a collaborative mindset help Widget Engineers successfully integrate feedback and deliver cohesive solutions.

What are the key skills and qualifications needed to thrive as a widget?

I'm sorry, but 'Widget' is not a recognized real-world professional occupation, so I cannot generate a response for this job title.

What is the difference between Widget vs Technician?

AspectWidgetTechnician
Required CredentialsHigh school diploma or equivalent; technical certifications often preferredHigh school diploma; technical certifications or associate degree often required
Work EnvironmentManufacturing or production facilities, assembly linesRepair shops, maintenance facilities, on-site client locations
Industry UsageManufacturing, assembly, production industriesMaintenance, repair, and technical service industries
Common Search/ComparisonWidget vs Technician

Widgets and technicians often work in manufacturing environments, but widgets are typically products or components, while technicians focus on maintenance and repair. Understanding these differences helps in choosing the right career path or job search focus.

What is a widget?

Widgets are small applications or components that provide specific functionality within a larger software environment, such as a website, desktop, or mobile operating system. They are commonly used to display information or enable user interactions, like weather updates, calendars, or search bars. Widgets can be developed in various programming languages and are often customizable to fit the needs of the user or business. Their main advantage is enhancing user experience by offering quick access to frequently used tools and information without navigating away from the main interface.
Infographic showing various Widget job openings in the United States as of August 2026, with employment types broken down into 40% Full Time, 54% Part Time, and 6% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $88,513 per year, or $42.6 per hour.

Founding Engineer (AI-Native)

career

San Francisco, CA • On-site

Full-time

Re-posted 15 hours ago


Job description

Who we are
Vidably is building the evidence layer for commerce: verified buyer video, structured with AI, and tied to outcomes. UGC video contains more product truth than specs, studio media, or text reviews because it shows fit, feel, use-case, and tradeoffs in real contexts. It is how people actually decide what to buy.

Today, the most impactful buyer video lives on platforms like TikTok and Reels, disconnected from product pages, outcomes, and brand control. Vidably brings that content onto owned commerce surfaces, uses AI to turn it into structured, SKU-level evidence, and measures what actually drives conversion. We share incremental value with creators, which unlocks far more high-quality buyer video and a system that learns what matters for each product.

This is the missing input for shopping agents. The same signals humans use to buy confidently are the signals an agent needs to recommend, compare, and explain products with real evidence, not guesswork.

Vidably is backed and supported by AI Fund.  Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, AI Fund works alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success.

About the role
This is a hands-on, jump-into-anything role on a small, talented team. You'll help build the AI-powered evidence layer for commerce, making Vidably self-serve and reliable across real Shopify storefronts. Candidates must currently be based in the Bay Area. Relocation will not be an option for this role.
Responsibilities for the Role Include:
  • Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline, internal tooling
  • Harden a live Shopify app and storefront integration across OS 2.0 and legacy theme realities with safe rollouts and easy rollback
  • Extend the mobile web creator upload flow with Mux: QR prompt record/upload consent submit
  • Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve/publish, and self-serve tooling
What Success Looks Like:
  • Onboarding new customers becomes boring and repeatable
  • Founder minutes per merchant drops materially because workflows are productized
  • We can scale customers without bespoke engineering per store
Required Qualifications Include:
  • You've shipped to production across the stack and you close loops fast - you design, build, debug, and operate
  • Strong fundamentals: performance, reliability, security, and product/UX judgment (especially on conversion-sensitive surfaces)
  • AI-native builder: you ship production code with agentic tools (Cursor, Claude Code, Codex CLI, similar).
  • You use AI for speed, keep quality high with tests/CI/observability, and can debug when AI output is wrong
  • Thrive in ambiguity and a very small-team environment.
  • You're excited to learn new tools and domains fast, and you jump into whatever needs doing
Nice to Have Skills Include:
  • Shopify apps/theme integration experience, or embedded widget/SDK experience in hostile third-party environments
  • Video pipeline familiarity (Mux or similar)
  • Experimentation/analytics rigor: clean event design, integrity checks, debugging
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.
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