Product Enablement Engineer Job at Plain (San Francisco)

Security Engineer - Product & Production Infrastructure

Wiz is looking for a Security Engineer for Product & Production Infrastructure w...

Location

United States

Salary:

204000.00 - 281000.00 USD / Year

Wiz

Expiration Date

Until further notice

Requirements

7+ years of experience in security engineering or security operations work in cloud environments
Strong AWS cloud security experience (we will also consider equivalent experience in Azure and GCP)
Cloud native Kubernetes services (EKS/GKE/AKS) and strong container security principles
Deep understanding of securing IAM and cloud identities at scale
Proven ability to lead technical security reviews of products and architectures, conduct threat modeling exercises, and translate findings into actionable security controls
Practical understanding of web application security concepts (such as OWASP Top-10 and similar)
Hands-on experience with IAC and related tools (Terraform, CloudFormation, Helm, Pulumi)
Experience with automation and tooling development in one or more: Python, Go, Shell, HCL, Rego

Job Responsibility

Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies
Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows
Design and implement secure baselines for cloud resources and Kubernetes based infrastructure
Drive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production
Extend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents
Collaborate with our Wiz Federal team – extending our DevSecOps and Product Security practices to Wiz's FedRAMP environment and ensure it meets key security requirements
Build deep functional partnerships with Wiz's engineering and operations teams – helping them deliver secure-by-design solutions

What we offer

Medical, dental and vision insurance
Home Office Setup reimbursement
Flexible Spending Accounts
Monthly Connectivity reimbursement
Employee Assistance Program (EAP)
Short- and Long-term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan (with employer match)
Flexible paid time off + 11 paid holidays
Paid leave programs, including parental, pregnancy health, medical and bereavement leave

Fulltime

Senior Product Enablement Manager

Intercom's Global Sales Organization is rapidly evolving, and the GTM Enablement...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5+ years in Sales Enablement, Solutions Engineering, Technical Training, or a related role in a SaaS organization
A strong technical aptitude with the ability to bridge R&D and GTM, translating complex technical details into clear guidance for customer-facing teams
Experience designing and delivering technical curriculum, including hands-on labs, certifications, and self-paced learning interventions
Deep understanding of the 'Solutions' function (CSMs, SEs, Professional Services) and the technical readiness required to drive customer adoption and retention
The ability to work cross-functionally and build trusted relationships with Product Managers, R&D, and GTM leadership
Excellent communication and presentation skills, with an intuitive sense for delivering the right technical information at the right time
Analytical mindset with the ability to measure technical proficiency and report on the effectiveness of certification programs

Job Responsibility

Developing a scalable and repeatable strategy for the technical education of AEs, RMs, CSMs, SEs, and Professional Services
Creating and maintaining a full suite of technical training materials, including hands-on labs, documentation, and how-to guides
Leading and facilitating technical training sessions, both live and on-demand, including 'Train the Trainer' programs and new product release training
Owning the AI Fluency Program, creating a unified baseline of understanding regarding our AI capabilities (Fin) across the GTM organization
Building and operationalizing a scalable certification framework that integrates AI learning objectives and continuous upskilling into onboarding and ongoing enablement
Ensuring every GTM role is fluent in AI and able to guide customers through AI-driven change management and adoption
Serving as the primary liaison between R&D and the Solutions teams, translating product functionality and architecture into digestible, actionable training content
acting as the primary conduit for feedback from the Solutions teams back to R&D and Product, synthesizing field insights to help inform the product roadmap

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Manager, Systems Engineering, Production

We are currently seeking a Manager, Systems Engineering, Production to join our ...

Location

Canada , Toronto, Calgary, Vancouver

Salary:

172000.00 - 258000.00 CAD / Year

Clio

Expiration Date

Until further notice

Requirements

Demonstrated success in people leadership in systems engineering, particularly in large-scale SaaS products
Competency in at least one software development language
Diverse base of knowledge that allows you to help your team solve complex technical problems
The ability to describe successful projects you worked on, as well as a collection of lessons learned from failed projects
Demonstrated ability to hire the best and brightest engineers in a fast-paced job market - and to coach, develop, and retain engineering talent
You are equally energized by both your own technical work as well as contributing to the career growth of your team
You have strong opinions that are weakly held, and foster that same attitude in others
You believe in providing honest, actionable feedback to your team, and encourage your team to reciprocate
You devise roadmaps to guide your team, but aren't beholden to them -- you easily adapt to a constantly changing world
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Defining the vision, and supporting your team in designing and implementing the architecture to power new global capabilities for Clio's customers
Authoring, reviewing, and shipping infrastructure-as-code in Clio’s cloud environments
Enabling product teams to self-serve issues and reduce the time-to-resolve for production issues by smoothing friction points through automation and creating observability tooling
Directly supervise, mentor, and collaborate with your individual contributors, and build cross-functional relationships across the engineering organization
Partner with Clio’s product development teams to support them in ensuring all of Clio’s products meet a high bar for security, performance, reliability, availability and change velocity
Work closely with the recruiting/people team to actively recruit and hire top talent to support Clio’s ambitious growth plans for our infrastructure and development teams

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days
Flexible time off policy, with an encouraged 20 days off per year
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Staff AI Developer Productivity Engineer

This is a staff-level, hands-on role at the intersection of Developer Productivi...

Location

United Kingdom , London OR Chester

Salary:

Not provided

Equals Group PLC

Expiration Date

Until further notice

Requirements

8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps)
Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js
Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality
Solid understanding of CI/CD, test strategy and code-quality tooling
able to design fast inner loops and reliable pipelines
Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases
Excellent communication and influence skills
comfortable enabling teams via docs, workshops and remote office hours
A role model for our values: Make it happen
Succeed together

Job Responsibility

AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes
Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time
Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes
Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes
run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments
productionise successful approaches
Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates
Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams
measure usage and satisfaction and iterate

What we offer

25 days holiday per year + your birthday off
Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development
Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
GetActive with Aviva - Health and Wellbeing discounts on services and products
Interbank currency rates on travel money and international transfers
Bupa Private Healthcare
Free Eye Test and £50 up to the cost of glasses
EAP Service - Mental Health Services
Life Assurance Policy - x3 annual salary
Contributory pension scheme

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

Senior Software Engineer - Network Enablement (Applied ML)

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred)
Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark
Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference
Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics
Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response

Job Responsibility

Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows)
Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact)
Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses
Build and operate offline training pipelines and production batch scoring for bank intelligence products
Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring
Implement model CI/CD, model/version registry, and safe rollout/rollback strategies
Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs
Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions
Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection)
Ensure fairness, explainability and PII-aware handling for partner-facing ML features

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Staff Product Security Engineer

As a Staff Product Security Engineer, you will play a crucial role in safeguardi...

Location

France , Paris

Salary:

Not provided

Dashlane

Expiration Date

Until further notice

Requirements

Strong understanding of application security best practices, including experience with threat modeling and risk assessments
Demonstrated experience building or improving an SDLC program
Familiarity with CI/CD pipelines and their security implications
Familiarity with cloud infrastructure (e.g., AWS, Azure, Kubernetes), and Infrastructure-as-Code (e.g., Terraform)
Interest in enabling secure use of AI tools to drive efficiency, creativity, and impact internally
Communication & Collaboration: You engage and listen empathetically to others, adjusting your communication style to fit the audience and message. You are experienced in communicating with technical and non-technical audiences
Mentoring: You enjoy using your knowledge and experience to support and uplevel those around you
Motivated Learner: You learn new technologies and processes quickly, and understand where to look for knowledge when you need it
Adaptability: You are a jack or jane of all trades - you’re comfortable digging into non-technical parts of the business to provide security support and guidance

Job Responsibility

Drive the continuous improvement of Dashlane’s security program across the product and company
Conduct architecture design reviews, threat modeling, and technical security assessments of Dashlane’s product (application and infrastructure) to identify security risks and provide mitigation guidance
Ensure security best practices are integrated throughout the software development lifecycle (SDLC)
Build upon and scale Vulnerability Management to ensure the team can track, analyze, and manage vulnerabilities and their remediation
Perform risk assessments of Dashlane’s internal systems, environments, assets, and data, and implement security best practices accordingly
Evaluate and implement security tooling and/or build customized tooling in-house where necessary
Participate in Compliance and Incident Response
Innovate and propose new forward-looking security features that protect Dashlane and our users

What we offer

Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption
Health insurance covered by Dashlane
Mentorship program - select your mentor from our internal pool and continue your learning path!
Commute allowance
Meal Vouchers (Swile)
Mental health services through Spring Health for you and family members
4 extra days off (one per quarter) to acknowledge the importance of your wellbeing
Spot in daycare
Time off saving account
Donation matching program - give back to the community and support actions that lead to positive social impact under the historically marginalized communities. Every donation will be matched by Dashlane

Fulltime

Software Development Engineer – Productivity

We are looking for experienced software development engineer for the Productivit...

Location

India , Bengaluru

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

6-8 years of hands-on experience in software development
BE/MS Computer Science or equivalent
Strong proficiency in one or more programming languages (e.g., Java, Python)
Experience in architecting, designing and building internal tools, automation, microservices or workflows
Solid understanding of distributed systems, APIs, databases, and cloud platforms (AWS /Azure)
Excellent interpersonal and communication skills
Proven experience leading projects, mentoring engineers, or playing a tech-lead role

Job Responsibility

Take a technical leadership role in guiding the team, driving best practices, and partnering with cross-functional stakeholders to design and deliver solutions (tools, automation, services) that enhance organizational efficiency and improve customer experience
Mentor a team of engineers, provide hands-on technical guidance and support in building solutions that will eventually be an enabler for different business units across Komprise
Apply experiences and knowledge in solving problems that are complex in nature and need in-depth investigation and evaluation
Demonstrate judgment in not only solving the given problems but to identify problems proactively and suggest plausible solutions
Design and implement highly performant, scalable systems catering to different internal/external problem statements
Drive architecture decisions, code quality standards, and engineering best practices
Work closely with Engineering, Product Managers, Support, Customer Success and other teams to understand needs and translate them into actionable technical requirements
Work effectively with immediate team members along with required stakeholders involved in the project
Operate, drive results and set priorities independently
Be a proactive contributor and subject matter expert

What we offer

Competitive salary
Flexible vacation policy and remote work options
Opportunity to grow with a rapidly scaling company

Fulltime

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Product Enablement Engineer

Job Description

Job Responsibility

Requirements

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