As a Distribution Engineer / Designer, you can expect to:

• Independently develop design and construction work packages for electrical overhead and underground distribution systems
• Review work provided by clients and assess requirements of scopes
• Perform engineering calculations such as structural analysis, guying calculations, and voltage drop and flicker calculations
• Provide engineering support during construction, including post-construction reviews
• Conduct root cause analysis of outages and mitigation using engineering principles and design
• Gain experience in coordinating conflicting utilities and other field engineering design requirements

What Sets You Apart (Background Requirements):

• 2+ years of prior relevant experience
• Bachelor's Degree (Electrical, Mechanical, Civil, or Industrial preferred)
• Experience with the execution of distribution projects
• Experience with utility reliability projects
• Ability to demonstrate proficiency with the NESC
• Ability to utilize a personal vehicle
• Valid U.S. driver's license

Nice to Haves:

• Previous QAQC experience
• Experience providing estimated costs and development of a BOM
• Experience with design tools such as Pole Foreman, O-Calc, Spida-Calc
• Experience with the Work Management System CREWS
• Relevant management or leadership experience

Professional Attributes that will help you succeed in this role:

• Strong communication skills
• Collaborative and inclusive of individuals of diverse backgrounds
• Positive attitude
• Ability to work with limited supervision
• Professional dress and demeanor
• Attention to detail & Highly organized
• Excellent time management

The Power Delivery Services Team at Leidos provides reliable power and telecommunication expertise to utilities and mobile operators. The team has worked with over 50 investor-owned utilities and over 160 municipals/cooperatives.

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Responsibilities:

• Install & Configure: Set up large-format printers, including hardware, software, and network components.
• Maintain & Repair: Perform preventive maintenance and troubleshoot mechanical, electrical, and software issues.
• Customer Training: Educate customers on proper usage, color management, and best practices.
• Project Execution: Follow installation and escalation plans to meet deadlines and quality standards.
• Proactive Support: Use monitoring tools to identify and prevent potential issues before they impact operations.
• Customer Engagement: Provide clear updates, resolve concerns promptly, and maintain high satisfaction levels.

Requirements:

• Technical Expertise:
• Strong mechanical, electrical, and electronic troubleshooting skills
• Knowledge of inkjet printing technology and color management
• Solid computer/networking skills
• Experience:
• 6–8 years in field service, technical support, or printer repair (HP experience preferred)
• Soft Skills:
• Excellent communication and problem-solving abilities
• Ability to work independently and under pressure
• Other Requirements:
• Valid driver's license and reliable transportation
• Ability to lift, bend, and stoop throughout the day

Specialized Skills:

• Pneumatic systems knowledge
• Color calibration and management expertise
• Ability to integrate hardware/software solutions

Location:

• Candidate must reside in New Jersey.
• This is a field-based role with travel to customer sites.

Salary:

• The pay range for this position is $28.85 to $36.05 USD per hour.

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 13 paid holidays
• 15 days paid time off
• Additional flexible paid vacation and sick leave

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We're hiring an AI Product transformation leader, to own strategy, roadmap, and business impact across a portfolio of AI-enabled products for an enterprise AI program. This is a multi-product leadership role: you own the roadmap and experimentation agenda for each product in the portfolio, and you're accountable for whether it drives measurable adoption and value, while reporting outcomes directly to senior executives and client stakeholders on that impact.

Responsibilities

Product & Program Ownership

• Own strategy and roadmap across the AI product portfolio, prioritised against market opportunity and current penetration by product, channel, and segment.
• Partner with engineering and AI/ML teams to translate strategy into shipped capability across products, while retaining accountability for outcomes.

Executive Communication & Governance

• Own the (bi)weekly/monthly executive governance cadence across the portfolio: prepare and defend performance, roadmap decisions, and investment tradeoffs under direct questioning.
• Build and maintain the standing reporting structure senior leadership uses to evaluate the program and for C-Level Steer-Co meetings.

Growth Strategy & Business Impact

• Drive the product-led growth motion for each product: activation, adoption, expansion.
• Design and run experiments, A/B tests, controlled rollouts, to establish causal impact rather than usage correlation; quantify results in business terms (time saved, revenue generated, conversion lift).

Go-to-Market Alignment & Adoption

• Align product priorities with GTM and business leadership to drive adoption in real-world workflows.
• Own the adoption and value-realisation framework: track usage-to-value conversion and course-correct where adoption lags.

Strategic Advisory

• Act as strategic advisor to client and business stakeholders on how to apply the portfolio to their specific workflows and goals.
• Translate ambiguous business problems into structured, dated plans with clear tradeoffs.

Team Leadership & Stakeholder Partnership

• Direct team of Product Managers, UX/UI Leads and matrixed organisation toward shared outcomes without directly owning technical delivery.
• Serve as the primary trusted point of contact for client and business stakeholders on program direction and results.

Qualifications

• 12-15 years in product management, including 3+ years at the Director (or above) level owning an AI-enabled or data-driven product portfolio with direct accountability for a growth or revenue metric.
• Track record presenting to, and being questioned by, senior or C-level leadership and client stakeholders.
• Background in management consulting or professional/IT services (strategy consulting, SI, or similar), with experience running executive governance processes.
• Demonstrated product-led growth experience: ownership of activation, adoption, or retention/expansion metrics.
• 3+ years of telecommunications industry experience

Tools & Skills

• Enterprise LLM platforms: Vertex AI, Claude (Anthropic), or comparable
• Google Cloud Platform (GCP) or equivalent cloud infrastructure
• AI/ML evaluation and observability tooling (evals, monitoring, drift and quality tracking)
• Analytics and BI tooling: SQL, dashboarding, experimentation platforms
• Executive-grade presentation and reporting: structured governance decks, board-level communication

Preferred Qualifications

• Masters, MBA or advanced degree
• Experience with telecom-specific technologies (e.g., OSS/BSS, 5G, AI/ML, cloud platforms)
• Familiarity with CRM, Sales Enablement and/or Marketing Enablement Systems
• Prior experience at a renowned or specialised consulting firm.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

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By applying, you're joining Mejuri's talent community for retail careers. The Talent Acquisition team will review applications and reach out if a role aligns with your background and interests.

Responsibilities and requirements will vary depending on the specific role. Mejuri values diversity and inclusion, ensuring equal opportunities for all applicants.

If you require accommodations, please inform Mejuri to discuss accessibility needs.

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You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy.

The Impact You Will Have:

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions, designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
• Develop and declare an emerging technical specialization, becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For:

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL, with live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture, designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform with a developing technical specialization in one area
• Proven ability to lead architecture discussions with senior technical stakeholders
• Experience with production deployments on public cloud, including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills, translating complex architectures into business value for technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

Nice to Have:

• Databricks certifications
• Experience with competitive platforms
• Background in a data/AI company or cloud provider
• Industry domain expertise

XML job scraping automation by YubHub

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions , designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialization (archetype) , becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL , you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders , whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills , able to translate complex architectures into business value for both technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certifications (Data Engineer, ML, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) , understanding the landscape you'll position against
• Background in a data/AI company or cloud provider
• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

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