Engineering Manager, Code Sync Job at Webflow

Senior Engineering Manager, AI Product (Thunderbolt)

Thunderbolt is an open-source, cross-platform AI product initiative from the tea...

Location

Canada; United States

Salary:

190000.00 - 240000.00 USD; CAD / Year

Mozilla

Expiration Date

Until further notice

Requirements

15+ years of professional software development experience, including significant experience in senior engineering leadership or complex product delivery roles
5+ years of experience managing technical teams, including senior engineers or senior individual contributors
A track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft
Strong ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum
Technical fluency with AI-enabled products, including the ability to evaluate tradeoffs across areas such as LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation
Demonstrated experience delivering complex applications across multiple platforms, such as desktop, web, and mobile, using technologies such as Tauri, Electron, React Native, or comparable frameworks
Experience with enterprise software, regulated environments, or similarly complex technical products, including security, privacy, compliance readiness, administration, integrations, and customer-controlled deployment models
Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, air-gapped, or other customer-controlled product architectures, including tradeoffs related to data storage, sync, privacy, reliability, and user experience
Experience improving engineering practices related to technical planning, code review, release readiness, testing, documentation, CI/CD, maintainability, or technical debt management
Excellent communication skills around technical prioritization, release risk, ownership, quality expectations, and tradeoffs

Job Responsibility

Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations
Manage engineers and contractors, including coaching, feedback, prioritization, performance support, and team development
Stay close to the codebase by contributing code, reviewing technical work, evaluating tradeoffs, and helping the team maintain momentum and quality
Partner with technical and product leadership to turn product direction, AI strategy, user experience goals, and technical priorities into coordinated engineering plans
Establish planning, review, release, and follow-through practices that improve predictability and reduce bottlenecks
Maintain high standards for code quality, testing, documentation, reliability, security awareness, maintainability, and release readiness
Build strong product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements
Partner across product, design, enterprise-facing teams, and technical leadership to balance speed, user experience, privacy, quality, enterprise readiness, and long-term sustainability
Lead hiring, onboarding, and resource planning as the Thunderbolt engineering team grows
Help Thunderbolt scale from an incubation-stage product into a reliable, enterprise-ready open-source AI product

What we offer

Fully remote work & schedule flexibility
Company-provided laptop
Annual bonus program
Monthly remote work stipend
Annual professional development stipend
Access to Coursera learning platform
Industry conferences
Company all-hands and team gatherings
24 days PTO per year (prorated)
Your birthday

Fulltime

Engineering Manager, Marketing Technology - Segmentation Platform & Insights Platform

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

212000.00 - 265000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of software engineering experience, with 4+ years in an engineering management role leading platform or infrastructure teams
Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes
Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad technology platforms – able to engage credibly in architecture and design conversations
Experience owning cross-team platform relationships: managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence
Track record of delivering complex, multi-quarter technical roadmaps in fast-moving environments
Fluency in data-driven engineering practices: data pipelines, analytics infrastructure, observability, and operational excellence

Job Responsibility

Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform, keeping delivery on track and stakeholders well-informed
Run 1:1s with engineers, with intentional focus on career growth, technical skill development, and early identification of blockers
Serve as the primary engineering DRI for cross-team dependencies — fielding requests from teams across Airbnb tech. and making clear, reasoned prioritization calls
Partner with the Product Manager to sequence the roadmap
Drive technical strategy for the Insights Intelligence Engine — Airbnb's emerging AI/ML anomaly and trend detection system — working across ML, Data Engineering, and Analytics Engineering disciplines
Oversee the design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, and multi-agent architectures running at Airbnb scale
Champion AI-native development practices across both teams — from AI-assisted coding and review workflows to the use of agents in CI/CD, on-call response, and data quality monitoring
Own the health and operational maturity of both teams: on-call programs, incident retrospectives, SLO definitions, and runbook quality
Represent both platforms in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy

What we offer

Bonus
Equity
Benefits
Employee Travel Credits

Fulltime

Engineering Manager - Team Scan (Connectivity & Ingestion)

Lead the Scan Team, responsible for the connectivity and ingestion layer of Data...

Location

France , Paris

Salary:

Not provided

DataGalaxy

Expiration Date

Until further notice

Requirements

Own the Scan domain technical direction: connector architecture, ingestion reliability, scalability, and maintainability
Contribute directly with hands-on development (you will code regularly)
Lead design reviews and establish shared practices (quality, testing, observability, maintainability)
Turn product needs into clear technical plans, align stakeholders, and deliver iteratively
Build and maintain connectors integrating with third-party REST APIs and platforms (OAuth2/API keys, pagination, rate limits, retries, webhooks when relevant)
Design reliable ingestion flows: incremental sync, idempotency, backfills, error recovery, reconciliation, and safe schema evolution
Normalize and map external data models into DataGalaxy’s internal model with good data quality and consistency
Maintain our desktop application written in Kotlin used for connector development/operations (configuration, debugging, validation workflows, diagnostics)
Improve developer and operator experience: packaging, configuration, troubleshooting, and usability
Apply and promote testing practices (unit/integration

Job Responsibility

Technical leadership & ownership
Connectors & ingestion engineering (core scope)
Desktop tooling for connectors
Quality, reliability & operations
Team leadership (light management, strong leadership)

What we offer

Forfait mobilité durable
Télétravail de n’importe où
Horaires de travail flexibles
Entre 2-3 jours de télétravail
Financement des certifications

Fulltime

Senior Engineering Manager, Growth Platform

At Scribd, growth isn’t just a set of campaigns, it’s a system. Millions of read...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

157500.00 - 278500.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

7+ years of engineering experience
3 to 5+ years in engineering management, leading high-performing teams delivering customer-facing or platform systems
Demonstrated growth impact: you’ve led teams whose work measurably improved conversion, retention, engagement, and/or LTV (ideally in subscription or consumer products)
Strong technical foundation and architecture depth: you can guide scalable system design, set quality bars, and lead teams through ambiguity and tradeoffs
Experience with growth and marketing systems, such as SEM, ad platform integrations, attribution/tracking, experimentation frameworks, customer engagement platforms, CDPs, CMS/landing page systems, analytics instrumentation, or marketing APIs
Cross-functional leadership strength: you can align diverse stakeholders, set clear priorities, and execute in fast-paced environments
People-first leadership: proven ability to coach, develop, and retain strong engineers while fostering psychological safety and high standards

Job Responsibility

Lead the engineering strategy and execution for Scribd’s Growth Platform, spanning acquisition enablement, promotional offer support, audience segmentation, and lifecycle marketing integrations
Build and manage a high-performing full-stack team, developing engineers while creating a culture of accountability, inclusion, and continuous learning
Stay deeply technical: act as an architectural and execution partner to the Tech Lead and team, driving thoughtful system design, pragmatic tradeoffs, and sustainable delivery
Partner closely with stakeholders to translate business goals into roadmaps, prioritize investments, and deliver high-impact initiatives across multiple brands and channels
Lead integrations with paid media platforms and third-party data exchange tooling to support conversion tracking, offline/online event feeds, audience sync, and campaign measurement
Own cross-channel measurement foundations: champion reliable instrumentation, telemetry, attribution quality, and data-informed decision making in partnership with Analytics
Drive integration and vendor decisions across the MarTech stack – evaluating tools, designing integrations, and ensuring solutions are scalable, secure, and maintainable
Champion engineering excellence in reliability, scalability, code quality, testing, and continuous delivery, so Growth teams can move fast with confidence

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

SailPoint IDN Engineer

We are currently seeking a SailPoint IDN Engineer - Hybrid in Plano, TX to join ...

Location

United States , Plano

Salary:

89300.00 - 124000.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of hands‑on IAM experience with progressive responsibility in provisioning and identity engineering
Proven, practical experience with SailPoint (IGA) and CyberArk (PAM) implementations
Deep operational knowledge of Entra ID / Azure AD and identity synchronization patterns
Strong understanding of PKI concepts and hands‑on certificate management
Proficient with identity protocols: SCIM, SAML, OAuth/OIDC, MFA
Advanced scripting and automation skills: PowerShell, Python, Bash
experience with Terraform or CloudFormation
Experience with ITSM/ticketing tools (ServiceNow, Jira) and SLA management
Demonstrated ability to perform complex troubleshooting and deliver durable engineering fixes
Must be a US citizen or Green card holder

Job Responsibility

Technical ownership of user lifecycle and entitlement engineering across Active Directory, Entra ID, SaaS apps, and custom systems
SailPoint IGA leadership: design, implement, and tune connectors, provisioning policies, role engineering, reconciliation, and certification campaigns
CyberArk PAM stewardship: onboard targets, manage vault policies, implement credential rotation, and support privileged session controls
PKI and certificate lifecycle: architect and operate certificate issuance, renewal, revocation, and automation for service identities and TLS endpoints
Cloud identity engineering: design Entra ID conditional access, cross‑tenant syncs, and entitlement models
coordinate with AWS/GCP IAM as needed
Automation and infrastructure as code: develop and maintain SCIM/SAML/OIDC connectors, PowerShell/Python scripts, and Terraform/IaC for repeatable provisioning patterns
Incident response and RCA: lead Tier‑3 troubleshooting for provisioning failures, perform root‑cause analysis, implement permanent fixes, and reduce recurrence
Governance and audit readiness: lead access reviews, entitlement remediation, evidence collection, and support external/internal audits
Mentorship and documentation: create runbooks, operational playbooks, and train L1/L2 engineers to improve throughput and reduce manual errors

What we offer

Medical, dental, and vision insurance with an employer contribution
Flexible spending or health savings account
Life and AD&D insurance
Short and long term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally-required benefits

Fulltime

Ai Snowflake Engineer

The Technical Partner owns the full-stack build of 1 to 2 Springboard pods. You ...

Location

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

Full-stack AI development proficiency: own the complete solution across data, AI pipeline, API, and UI layers without requiring additional engineering support
LLM integration and orchestration: hands-on experience building production-grade AI pipelines including tool use and function calling, retrieval-augmented generation (RAG), structured output handling, streaming, and multi-step agentic workflows
AI-native application development: proficiency with rapid development platforms (e.g., Lovable, Bolt, v0) for fast front-end prototyping and end-to-end application assembly
Workflow automation and integration: experience with event-driven orchestration and low-code/no-code integration platforms (e.g., n8n, Make, Zapier) for connecting enterprise systems, transforming data, and building automated pipelines without custom middleware
Cloud infrastructure: proficient deploying and operating services in AWS sandbox environments including compute, managed AI services, object storage, and serverless functions (e.g., Lambda, API Gateway, Bedrock)
Snowflake development proficiency: experience building and querying data pipelines and analytical layers in Snowflake, including data ingestion, transformation, and exposure of structured data to AI applications. Must be able to execute parallel prototype work using only approved tooling, without reliance on external AI tools, to ensure a fair and unbiased comparison of approaches
API and systems integration: strong REST and webhook fluency, OAuth and API key authentication patterns, and JSON/data transformation for connecting to enterprise systems
Ability to evaluate and adopt new AI tooling rapidly
this stack evolves and you are expected to keep pace
A track record of shipping full-stack AI applications under time pressure

Job Responsibility

Architect and build one to two full-stack AI prototypes per cohort inside the sandbox (AWS), selecting and configuring the appropriate AI development stack for the use case
Translate use case requirements and executive input into a scoped technical architecture, making deliberate build-vs-configure-vs-integrate decisions that are achievable within the sprint
Design and implement AI pipelines using available LLM APIs (e.g., Claude, OpenAI, Bedrock), including prompt engineering, tool use and function calling, RAG architectures, and agentic workflow patterns as appropriate to the use case
Build functional front-end interfaces using AI-native rapid development platforms (e.g., Lovable, Bolt, v0) and wire back-end logic and data flows to deliver a complete, demo-ready application
Implement workflow automation and system integration using orchestration platforms (e.g., n8n, Make, Zapier) to connect enterprise data sources, APIs, and downstream systems
Develop prototypes that are stable, clearly scoped, and capable of running live in front of executive audiences without failure
Iterate rapidly based on AI Strategist and executive feedback throughout Weeks 2 through 6, treating their input as product requirements
Build parallel prototypes using only approved tools (Snowflake, Copilot) alongside the sandbox-built solution, enabling a direct side-by-side comparison of approaches at Demo Day. This work must be completed within approved tooling only, without the use of external AI tools or sandbox resources
Assess and articulate the production gap: what was built in the sandbox versus what a production deployment requires across integration, data governance, security, and scale
Contribute technical input to the build-vs-buy recommendation, Product Requirements Document, and AIRB submission materials

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

New

Project Operations Coordinator

As a Project Operations Coordinator, you will have the opportunity to work on ex...

Location

Salary:

Not provided

Adagrad

Expiration Date

Until further notice

Requirements

3 years of experience in project management, product operations, or technical account management—preferably in hardware/software products or industrial tech
Strong organisational skills with the ability to manage multiple stakeholders and competing priorities
Comfort with technical concepts (you don't need to code, but you should be able to understand system issues and translate between customers and engineers)
Excellent communication skills—written and verbal
Experience with CRM and ticketing tools

Job Responsibility

Serve as the primary point of contact for the sales team on all matters post-closure: delivery scheduling, deployment coordination, installation support, and ongoing customer success
Manage customer expectations and communication throughout the implementation journey
Document feature requests from the sales team and pass them to the leadership and product teams
Coordinate with engineering on issue resolution and release timelines
Work with the finance team to ensure adequate inventory levels based on upcoming deployments and sales pipeline
Flag potential stock-outs or lead time risks early
Monitor support tickets systematically to identify patterns, recurring issues, or emerging problems
Escalate trends and issues to tech and product teams proactively
Maintain clear, consolidated communication between sales, tech, deployment, and support teams
Run regular sync-ups to ensure alignment and surface blockers early

Fulltime

New

Senior Manager, Premium Support Engineer (Databolt)

As a Premium Support Engineer, you will be the primary technical authority and s...

Location

United States , Richmond; San Francisco; McLean; New York

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 7 years of experience in technical account management, enterprise B2B support, or customer-facing engineering roles
At least 5 years of experience with AWS (Multi-AZ, EKS, KMS, Secrets Manager)
At least 5 years of experience in security and networking, including knowledge of mTLS, JWT, OAuth, and Data Loss Prevention (DLP) configurations in restricted VPC environments
At least 3 years of experience with Infrastructure as Code (Terraform, AWS CloudFormation) to provision, replicate, and tear down customer cloud environments in internal sandboxes
At least 3 years of experience programming with Java, Python, Go, or PySpark SDKs
At least 3 years of experience with enterprise data platforms (Snowflake, Databricks)

Job Responsibility

Serve as the 'Single Point of Contact' for all technical inquiries, providing accelerated response times (e.g., 1-hour P1 response) tailored to the customer's specific network topology
Lead Monthly and Quarterly Business Reviews (MBR/QBR) to report on incident trends, root cause analysis (RCA), and overall system health
Advocate for customer feature requests within the Databolt product roadmap to solve unique air-gapped or hybrid-SaaS challenges
Manage the full lifecycle of self-hosted Data Plane instances, including zero-downtime upgrades and version parity management
Proactively monitor local telemetry and performance metrics (TPS, latency drift) using Prometheus or similar tools to identify bottlenecks before they impact production
Own the P1/P2 incident response process, driving rapid remediation within restricted environments where external cloud access is limited
Architect and simulate the customer's internal Kubernetes/EKS environment to validate patches and configuration bundles prior to production deployment
Design and implement secure 'manual sync' protocols for delivering dynamic code libraries and Docker images to air-gapped systems
Collaborate with customer Data Architects to design custom Access Policies, RBAC groups, and Field Templates that align with internal governance

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

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Engineering Manager, Code Sync

Job Description

Job Responsibility

Requirements

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